212 Risk Analytics Jobs - Page 6

Project Role : Test Automation Lead Project Role Description : Lead the transformation of testing into a continuous and efficient end-to-end quality engineering function through the use of quality processes, tools, and methodologies significantly improving control, accuracy and integrity. Evolve more predictive and intelligent testing approaches based on automation and innovative testing products and solutions. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position Management Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Test Automation Lead, you will lead the transformation of testing into a continuous and efficient end-to-end quality engineering function through the use of quality processes, tools, and methodologies significantly improving control, accuracy, and integrity. You will evolve more predictive and intelligent testing approaches based on automation and innovative testing products and solutions. Your typical day will involve overseeing the testing process, collaborating with the team, and implementing automation strategies to enhance the quality of our products and solutions. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management- Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in Requirements/User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira. Professional & Technical Skills:- Must To Have Skills:Proficiency in Charles River Order & Execution Management OEMS Trading, Charles River Middle Office, Charles River Data and Position Management, Charles River Portfolio Management & Risk Analytics.- Good To Have Skills:Experience with Charles River Middle Office, Charles River Data and Position Management, Charles River Portfolio Management & Risk Analytics.- Strong understanding of test automation frameworks and tools.- Experience in designing and implementing automated test scripts.- Knowledge of software testing methodologies and best practices.- Familiarity with Agile development methodologies.- Excellent problem-solving and troubleshooting skills.- Strong communication and collaboration abilities. Additional Information:- The candidate should have a minimum of 5 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position Management Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Your role will involve researching, gathering, and synthesizing information to drive effective decision-making and improve business performance. Roles & Responsibilities:- Managed user groups, profiles and access to different modules.- Create and manage CRD workflows for each business group.- Understanding business requirements and mapping them to system requirements specifications.- Project status tracking, resource allocation and management.- Conducting process and system studies and coordinating with team members for System Design & Integration.- Delivering and implementing project as scheduled and ensuring compliance to quality standards. Designing the entities and performing coding, data verification etc.- Preparing TSD and assisting UAT, SFR resolution & Production Release. Professional & Technical Skills:- Must To Have Skills:Proficiency in Charles River Order & Execution Management (OEMS) Trading.- Good To Have Skills:Experience with Charles River Middle Office, Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management.- Strong understanding of financial markets and trading operations.- Knowledge of investment management systems and processes.- Experience in conducting business process analysis and improvement.- Excellent analytical and problem-solving skills.- Strong communication and stakeholder management abilities.- Ability to work effectively in a team environment. Additional Information:- The candidate should have a minimum of 9 years of experience in Charles River Order & Execution Management (OEMS) Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position Management Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineer (Tester), you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suite. You will create automation strategy, automated scripts, and support data and environment configuration. Additionally, you will participate in code reviews, monitor, and report defects to support continuous improvement activities for the end-to-end testing process. Roles & Responsibilities:- Experience in Investment Banking/Capital Markets/Wealth and Asset Management with hands-on Functional.- Experience working on the capital instrument (equities management funds model) portfolio management, trade life cycle, client onboarding, retirement goal planning, trade reconciliation asset aggregation able to write and execute the test cases for functional testing.- Agile methodology experience.- Experience in SQL and relational database.- Execute and manage various levels of testing - Functional (IST, UAT), Regression and End to End testing.- Independently identify the test data requirements and execute test cases.- Defect Management- Articulation of defects in detailed manner and monitor resolution efforts and track successes.- Participate in Requirements/User story grooming, defect triage and stakeholder demos.- Experience working as part of larger QA team, working very closely with QA lead and program team.- Involved in peer-review of the test cases, sanity and smoke testing and User acceptance testing.- Hands on experience on test management tools like Jira. Professional & Technical Skills:- Must To Have Skills:Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills:Experience with Charles River Portfolio Management & Risk Analytics, Charles River Data and Position Management, Charles River Middle Office.- Strong understanding of test automation frameworks and methodologies.- Experience in designing and implementing test automation scripts.- Knowledge of software testing principles and methodologies.- Familiarity with defect tracking and test management tools. Additional Information:- The candidate should have a minimum of 5 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Charles River Order & Execution Management OEMS Trading Good to have skills : Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position Management Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Your role will involve researching, gathering, and synthesizing information to drive effective decision-making and improve business performance. Roles & Responsibilities:- Managed user groups, profiles and access to different modules.- Create and manage CRD workflows for each business group.- Understanding business requirements and mapping them to system requirements specifications.- Project status tracking, resource allocation and management.- Conducting process and system studies and coordinating with team members for System Design & Integration.- Delivering and implementing project as scheduled and ensuring compliance to quality standards. Designing the entities and performing coding, data verification etc.- Preparing TSD and assisting UAT, SFR resolution & Production Release. Professional & Technical Skills:- Must To Have Skills:Proficiency in Charles River Order & Execution Management OEMS Trading.- Good To Have Skills:Experience with Charles River Portfolio Management & Risk Analytics, Charles River Middle Office, Charles River Data and Position Management.- Strong understanding of investment management processes and workflows.- Knowledge of financial instruments such as equities, fixed income, derivatives, and foreign exchange.- Experience with data analysis and visualization tools such as SQL, Python, and Tableau.- Ability to analyze complex business problems and provide strategic recommendations.- Excellent communication and interpersonal skills to effectively collaborate with stakeholders.- Strong analytical and problem-solving abilities to drive data-driven decision-making. Additional Information:- The candidate should have a minimum of 3 years of experience in Charles River Order & Execution Management OEMS Trading.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualifications 15 years full time education

About The Role : Job Title Model Validation Senior Specialist- Derivative Pricing, AVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Roles and responsibilities Identify and define detailed product requirements and use cases Develop detailed business processes, requirements, and functional designs Maintain strong relationships with clients and project leadership Coordinate across multiple teams, subcontractors, and clients Support execution of testing Develop and review test plans and test cases Support development and testing activities across multiple releases Professional & Technical Skills Understand needs & elicit business requirements from client Experience/Knowledge of Insurance domain/processes Hands-on experience of Insurance project Knowledge of SQL, latest developments in technology Exposure to risk analytics and/or regulatory requirements for insurance Work with project leads to understand and define scope and vision Gather requirements independently by driving workshops, storyboards session, user stories discussions Document functional requirements, process flows, test scenarios/cases Understand business needs and prioritization of requirements Analyse requirements for completeness & consistency Work with technical team for implementation & deployment of requirements Provide supports during all phases of SDLC including UAT and Post Deployments Additional Information The candidate should have a minimum of 3 years of experience in Personal Insurance projects. MBA/PGDM in Insurance/Marketing/Finance. This position is based at our Bengaluru office. A 15 years full-time education is required.

Good to have skills : Requirements Analysis Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary Business Analyst is a key person involved in the complete life cycle of software development/ implementation. Since business users are not always available when needed, the business analyst is often the project team member that fills this void, providing the business perspective needed for project success. Business Analyst should design and document workflow and make appropriate recommendations that will positively impact operational effectiveness. Business Analyst will be the functional expert on the specified application(s) he/she will be the sole point of contact between the business unit and Information Technologys Application Development Specialist Roles and responsibilities Identify and define detailed product requirements and use cases Develop detailed business processes, requirements, and functional designs Maintain strong relationships with clients and project leadership Coordinate across multiple teams, subcontractors, and clients Support execution of testing Develop and review test plans and test cases Support development and testing activities across multiple releases Professional & Technical Skills Understand needs & elicit business requirements from client Experience/Knowledge of Insurance domain/processes Hands-on experience of Insurance project Knowledge of SQL, latest developments in technology Exposure to risk analytics and/or regulatory requirements for insurance Work with project leads to understand and define scope and vision Gather requirements independently by driving workshops, storyboards session, user stories discussions Document functional requirements, process flows, test scenarios/cases Understand business needs and prioritization of requirements Analyse requirements for completeness & consistency Work with technical team for implementation & deployment of requirements Provide supports during all phases of SDLC including UAT and Post Deployments

Job Summary What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts.

Job Summary This role offers a unique opportunity to manage the customer lifecycle through data-driven strategy and decision accuracy optimization. This is an exciting, fast-paced organization where the contribution by team members can significantly impact PayPal s bottom line as well as the end customer experience. We re looking for an Analyst to join the team and help in our efforts to manage customer lifecycle globally across various products. In this role, you will be a strong individual contributor developing solutions for complex, ambiguous and high-visibility business challenges specific to Credit Fraud strategy and Loss Mitigation. You will set and execute a vision for the team that reflects your deep analytical expertise. Job Description Primary responsibilities Design, develop and maintain data-driven solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance. Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues. Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of solutions to management. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business. Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas Identify opportunities and gaps within the current portfolio of PayPal s Fraud Risk controls, including continuously evolving fraud trends Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions Liaise with internal partners and collaborate with external partners, including external credit/banking partners and data vendors with a view towards iterative process improvement. Support existing automated systems and develop other systems/process and algorithms that could streamline strategy/solution building process and generate good business results. Education & Required Skills Bachelor s degree in Engineering, Mathematics, Statistics,, Finance or related quantitative discipline preferred 2-5 years proven credit or fraud risk analytics experience or equivalent. Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis; strong in analytics and problem solving. experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, SAS, Python, Unix, R etc. Proven experience in employing analytics solution on real world problems. Good business sense and logical thinking. Ability to synthesize information and generalize the pattern. Proven ability to work proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality Effective inter-personal skills. Manage relationship with key partners. Able to collaborate with remote teams effectively. Skilled in Presenting - can effectively communicate in large or small group settings. Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis Ability to manage a large, diverse set of to-do s - prioritize, stay on top of multiple workstreams, monitor progress Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently Experience working with cross-functional, geographically distributed teams, managing by influence is a plus.

Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job Summary: This role offers a unique opportunity to manage the customer lifecycle through data-driven strategy and decision accuracy optimization. This is an exciting, fast-paced organization where the contribution by team members can significantly impact PayPal s bottom line as well as the end customer experience. We re looking for an Analyst to join the team and help in our efforts to manage customer lifecycle globally across various products. In this role, you will be a strong individual contributor developing solutions for complex, ambiguous and high-visibility business challenges specific to Credit Fraud strategy and Loss Mitigation. You will set and execute a vision for the team that reflects your deep analytical expertise. Job Description: Primary responsibilities: Design, develop and maintain data-driven solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance. Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues. Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of solutions to management. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business. Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas Identify opportunities and gaps within the current portfolio of PayPal s Fraud Risk controls, including continuously evolving fraud trends Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions Liaise with internal partners and collaborate with external partners, including external credit/banking partners and data vendors with a view towards iterative process improvement. Support existing automated systems and develop other systems/process and algorithms that could streamline strategy/solution building process and generate good business results. Education & Required Skills: Bachelor s degree in Engineering, Mathematics, Statistics,, Finance or related quantitative discipline preferred 2-5 years proven credit or fraud risk analytics experience or equivalent. Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis; strong in analytics and problem solving. experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, SAS, Python, Unix, R etc. Proven experience in employing analytics solution on real world problems. Good business sense and logical thinking. Ability to synthesize information and generalize the pattern. Proven ability to work proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality Effective inter-personal skills. Manage relationship with key partners. Able to collaborate with remote teams effectively. Skilled in Presenting - can effectively communicate in large or small group settings. Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis Ability to manage a large, diverse set of to-do s - prioritize, stay on top of multiple workstreams, monitor progress Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently Experience working with cross-functional, geographically distributed teams, managing by influence is a plus. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

About Us At ANZ, were shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About the Role ANZ is currently hiring for two roles in the Markets Risk Methodology team a Quantitative Analyst, and a Senior Quantitative Analyst. As a Quantitative Analyst / Senior Quantitative Analyst for MARKETS RISK METHODOLOGY (MRM) in our Global Markets Risk team, you ll play a key role in development, enhancement, and ownership of market risk models and methodologies supporting Traded Market Risk (TMR), Non-Traded Market Risk (NTMR) and Counterparty Credit Risk (CCR) - including regulatory capital models and internal risk metrics (e.g., VaR, RNIV, Stress Testing). You are expected to support or lead complex methodological changes or capital reform initiatives and act as a trusted advisor on market risk measurement practices, ensuring the modelling framework remains fit-for-purpose and appropriately calibrated to evolving market conditions and regulatory requirements. The role requires expertise in quantitative modelling, regulatory frameworks, and risk analytics, with a strong focus on ensuring model integrity, accuracy, and compliance. Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours. Role Location: Bengaluru Role Type: Permanent, Fulltime What will your day look like? As a Senior Quantitative Analyst , you will: Lead the design, development, and implementation of market risk models for regulatory capital and internal risk metrics (e.g. VaR, RNIV, Stress Testing). Support / lead regulatory and strategic change programs by delivering methodology components that underpin accurate capital and risk measurement. Partner with Finance / Treasury / Front Office to ensure alignment of methodology with business economics and accurate reflection of risk in financial reporting. Keep abreast of changes in operating environment and regulations (APRA or International regulation as required) and provide strategic advice to the Head of Traded Market Risk (TMR) / Head of Non-Traded Market Risk (NTMR) / Head of Counterparty Credit risk (CCR) / Group General Manager Markets Risk. Lead model change initiatives, including remediation of regulatory findings, internal reviews, and audit observations. Ensure full compliance with model governance, internal controls, and risk policies, including documentation and sign-off processes. What will you bring? To grow and be successful in this role, you will ideally bring the following: 8+ years (Quantitative Analyst) / 10+ years (Senior Quantitative Analyst) of experience in financial markets, with strong exposure to traded products across multiple asset classes and risk types, particularly in Traded Market Risk (TMR) and Counterparty Credit Risk (CCR). Deep quantitative and technical expertise, ideally supported by an advanced degree (e.g. Master s or PhD) in Quantitative Finance, Financial Engineering, Mathematics, Physics, or a related discipline. Strong programming and computational finance skills, with proficiency in language commonly used for model development or analysis (e.g. Python, R, C++, MATLAB). Comprehensive understanding of market risk concepts and methodologies, including Value-at-Risk (VaR), Expected Shortfall, Stress Testing, Monte-Carlo simulation, PFE, XVA. Strong knowledge of regulatory capital frameworks, particularly Capital Adequacy: Market Risk; experience with model governance and regulatory submission processes. Excellent communication, interpersonal, and stakeholder management skills, with the ability to clearly explain complex quantitative topics to non-technical audiences, influence decisions, and represent Risk in senior-level discussions. Demonstrated ability to work cross-functionally, engaging effectively with Risk, Front Office, Finance, Technology, Audit, and Regulators. Proven leadership and mentoring capability, with experience guiding junior quants or managing contributors as part of larger project delivery. Experience in regulatory engagement and audit interactions, including ability to lead responses to regulatory reviews, internal audits, and model validation challenge. Familiarity with risk system architecture, including data pipelines, risk engines, and market data infrastructure. Industry certifications (e.g. FRM, CQF) are advantageous but not essential. You re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we d love to hear from you. So why join us? From the moment you join ANZ, youll be doing meaningful work that will shape a world where people and communities thrive. But its not just our customers wholl feel your impact. youll feel it too. Because at ANZ, youll have the resources, opportunities, and support you need to take the next big step in your career. Were a diverse bunch at ANZ in different roles, different locations, doing different things. Thats why we have a range of flexible working arrangements, so our people can make work, work for them. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more. At ANZ, youll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. Thats because were committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 97004. Job Posting End Date 06/06/2025 , 11.59pm, (Melbourne Australia)

About this role Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world s most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $9 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. Team Overview You will be working on BlackRocks investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our Quality Assurance teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! Being a member of Aladdin Engineering, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyse multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Job Purpose / Background: AQE (Aladdin Quality Engineering) is a globally distributed team supporting Quality Engineering initiatives for Apps on Aladdin. AQE employs use of industry-leading tools (Selenium, Java, Cypress, Cucumber, Jenkins, Azure dev ops) to support the testing activities. As a QA Engineer you will work as part of the Global testing team supporting Quality Engineering activities for applications on the Aladdin platform. Responsibilities include: 4-8 years of work experience in quality assurance/testing is preferred Become a Subject Matter Expert on applications & own Quality attestations for sign off on production releases. Responsible for functional, non-functional and regression testing activities of a project. Design and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in Java, Selenium, or other test frameworks to design, develop and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow Agile model to track and manage sprint tasks using ADO which includes sprint planning, execution, and retrospectives. Analyze production Incidents to identify action items for QA and Dev teams to drive Production stability. Provide feedback to improve the product quality and contribute to the enhancement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Troubleshoot Application, Environment or Data Issue Our benefits . Our hybrid work model . About BlackRock . .

About this role About this Role At the heart of BlackRock, the largest investment management firm in the world, is the Aladdin Product team. Being a member of Aladdin Product means working with the industry s thought leaders to build innovative and forward-looking products that shape the financial markets. We build next-generation technology that changes the way global investment firms manage their investments. Sitting at the intersection of business and technology, Product Managers work closely with Aladdin developers and other stakeholders to innovate, conceptualize, design and pilot new capabilities to simplify our clients biggest problems. As a Product Manager passionate about Aladdin Accounting, you will be responsible for leading, managing, and executing on our product vision. About Aladdin & Aladdin Accounting Aladdin is our operating platform to manage financial portfolios. It unites client data, operators, and technology needed to manage transactions in real time through every step of the investment process. Aladdin exists so that every financial professional can understand investment decisions and act with clarity. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making. Aladdin Accounting extends the scope of Aladdin, providing our clients a single, front-to-back investment platform with comprehensive investment accounting. The platform builds a connective tissue for thousands of users investing worldwide. Key Responsibilities: Define best practices for investment accounting processing Communicate accounting concepts to internal and external (client) stakeholders Work closely with Aladdin Accounting and product build teams to efficiently build workflows Analyze and research accounting data, working with partner teams to mitigate client challenges Explain accounting calculations to internal and external stakeholders Configure and establish system elections, client ledgers, and accounting elections Lead with a data driven mindset that tracks and measures usage and metrics to advise product strategy and deployment strategy Be a market structure expert - stay attuned and be ahead of industry, market, and technology trends to build opportunities for BlackRock and better serve our clients Desired Qualifications: 3-7 years of work experience in the financial services industry, Chartered Accountant (CA) is a plus Full professional proficiency in written/spoken English Experience with a variety of accounting standards (e.g., IFRS, US GAAP, Local GAAPs) as they pertain to investment accounting Experience using OMS / Accounting systems and/or successful track record in technology implementations of investment software Experience with accounting processes including reconciliation, ledger/trial balances, income analysis, accounting elections or accounting interfaces/reporting. Deep understanding of asset classes (Securities, Alternatives, Mortgage Loans, or Derivatives) Well-organized with the ability to prioritize with a hands-on approach, ability to schedule and manage tasks effectively, conflict resolution, problem solving, risk management Familiarity with product and software development lifecycles is a plus Our benefits . Our hybrid work model . About BlackRock . .

About this role Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world s most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $9 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. Team Overview You will be working on BlackRocks investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our Quality Assurance teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! Being a member of Aladdin Engineering, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyse multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Job Purpose / Background: AQE (Aladdin Quality Engineering) is a globally distributed team supporting Quality Engineering initiatives for Apps on Aladdin. AQE employs use of industry-leading tools (Selenium, Java, Cypress, Cucumber, Jenkins, Azure dev ops) to support the testing activities. As a QA Engineer you will work as part of the Global testing team supporting Quality Engineering activities for applications on the Aladdin platform. Responsibilities include: 4-8 years of work experience in quality assurance/testing is preferred Become a Subject Matter Expert on applications & own Quality attestations for sign off on production releases. Responsible for functional, non-functional and regression testing activities of a project. Design and develop comprehensive test scenarios based on functional and non-functional requirements. Apply expertise in Java, Selenium, or other test frameworks to design, develop and maintain automated test suites. Identify, document, and track defects in a clear and concise manner. Follow Agile model to track and manage sprint tasks using ADO which includes sprint planning, execution, and retrospectives. Analyze production Incidents to identify action items for QA and Dev teams to drive Production stability. Provide feedback to improve the product quality and contribute to the enhancement of testing processes. Effectively communicate testing metrics, progress, schedules, and issues impacting delivery. Troubleshoot Application, Environment or Data Issue Our benefits . Our hybrid work model . About BlackRock . .

About this role Team Overview The role sits in Aladdin Client Experience (ACX) within Aladdin Client Business (ACB), which is a centralized group who are responsible for supporting Aladdin clients and BlackRock Internal user services that covers Aladdin data of fixed income, equity, and alternatives products. The chapter helps our clients and portfolio managers better understand their portfolio exposures, strategy, and risk & returns. Every day, the ACX team tackles the hardest, most sophisticated analytical problems in FinTech. We utilize our in-depth understanding of Aladdin, our clients businesses, and the investment management process to provide exceptional client service to our rapidly growing, global client base. We all come from varied educational backgrounds, bring unique skills and experiences to the table, but share a serious passion for solving tough problems for our clients, adding value to their business and keeping our clients happy. In addition, the team works with Business, Technology and Aladdin Data partners to extend and evolve the data platform. This team is a fast paced and exciting environment with team members who all share a curiosity about Finance and Technology. Role Responsibility Have a good understanding of Fixed Income, Equity, Derivatives and Alternatives products and how they are modeled and traded in Aladdin. Use technical skills to ensure the accuracy of large analytical data sets, automate processes with scripts and macros and efficiently query information from a vast database. WExhibit attention to detail when quality checking Green Package analytics and be accountable for the timely delivery of reports to our clients in accordance with Service Level Agreements. Engage in meetings with end-users of Aladdin from all levels within the company from Portfolio and Risk Managers to Operations teams and also with our external Clients. Support client/user requests related to the Aladdin analytics. Be a Student of the Markets by following the global markets daily to understand how macro-economic factors can affect the analytics and portfolios management s risk and investment decisions. Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our sophisticated client demands. Show desire to work in a constantly evolving, changing and challenging environment. Experience 5+ years in financial or technology industry Excellent problem-solving and critical-thinking skills and an ability to identify problems, design and articulate solutions and implement change. Knowledge of financial products in Fixed Income, Equities and Derivatives, and familiarity with Risk analytics such as Durations, Spread, Beta and VaR would be an advantage. Excellent communication and presentation skills in both Spanish and English. Must possess strong verbal and written communication skills and be able to develop good working relationships with partners. Good understanding of SQL to help dive into Aladdin Database for investigations. Technical skills (UNIX, Python and PERL) are preferred but not necessary. Must be detail orientated, possess initiative and work well under pressure. Degree in Finance, Engineering or Technology would be preferred. Given that the nature of this role is Finance and Technology (FinTech) centric, we would like candidates who demonstrate an interest in learning these aspects of the job. Change SQL to required skill, updated Aladdin Service to ACX Our benefits . Our hybrid work model . About BlackRock . .

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong knowledge of using Moody s RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team either in full or in part is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to Business-As-Usual phase by collaborating with other RMS teams. Interface with Moody s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring 3-6 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as we'll as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (eg, regression, classification, clustering, decision trees, anomaly detection, etc). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc along with basic statistical concepts

Job Description Summary What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring 3-6 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts Additional Job Description Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . The Role: As part of Dun Bradstreets Data Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun Bradstreet initiatives. Key Responsibilities: Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes. Establish and maintain strong relationships with key business stakeholders. Engage clients and DB colleagues to identify business needs and develop, implement, and manage solutions. Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders. Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting. Develop Global Analytic Solutions inclusive but not limited to statistical models based on DB s established best practices, methodologies, and tools. Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases. Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions. Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies. Validate the performance of existing quantitative risk models and recommend changes when necessary. Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills Master s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering). 7+ years operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives. Hands-on experience applying modern machine learning techniques. Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL). Experience in feature engineering, automation, network analysis or Natural Language Processing. Experience working with outside clients on statistical engagements. Ability to manage multiple assignments, many of which have challenging timelines. Ability to work independently, as well as collaborate effectively in a team environment. Excellent communication and presentation skills. Proficiency in Microsoft Office Suite. Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. . .

Job Location: Bangalore or Pune We are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLM), Cognitive AI, and Machine Learning to drive innovation in AI-driven solutions. The ideal candidate will have strong Python programming skills and a deep understanding of TensorFlow, PyTorch, NLP, and deep learning frameworks . You will work on cutting-edge AI/ML projects, leveraging generative AI and cognitive computing to build intelligent models that enhance business decision-making, with a strong focus on abuse detection, fraud prevention, and risk management Key Responsibilities: Develop and fine-tune Large Language Models (LLMs) to improve natural language understanding, text generation, and conversational AI. Design and implement cognitive AI models that enhance machine-human interactions and decision automation. Build fraud detection and abuse management models using advanced AI/ML techniques to identify anomalies, behavioral patterns, and security threats. Work with deep learning frameworks like TensorFlow, PyTorch, and Keras to build and optimize AI models. Utilize NLP techniques (tokenization, named entity recognition, sentiment analysis, text summarization) for unstructured data processing. Perform statistical analysis and hypothesis testing to drive data-driven insights. Use Numpy, Pandas, Scikit-learn for data preprocessing, feature engineering, and model evaluation. Deploy AI/ML models using MLOps, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) . Work with big data technologies such as Spark,Dask, and Hadoop for large-scale data processing. Collaborate with cross-functional teams (engineering,product, and business teams) to integrate AI models into applications. Stay updated with the latest advancements in AI, cognitive computing, fraud detection, and generative models to enhance AI capabilities. Must-Have Skills: Programming: Python (Numpy, Pandas, Scikit-learn), SQL AI/ML Frameworks: TensorFlow, PyTorch, Keras Natural Language Processing (NLP): NLTK, SpaCy, Transformers, Hugging Face Cognitive AI & LLMs: OpenAI GPT, BERT, LLaMA, Bloom, LangChain Abuse & Fraud Detection: Anomaly detection, behavioral analytics, risk scoring models Big Data & Cloud: Spark, Hadoop, AWS/GCP/Azure MLOps & Deployment: Docker, Kubernetes, CI/CD pipelines Mathematical & Statistical Skills: Probability, Linear Algebra, Optimization Deep Learning & Neural Networks: CNN, RNN, Transformers, GANs Good-to-Have Skills: Experience with vector databases (FAISS, Pinecone, Weaviate) for AI search and retrieval. Hands-on experience with AutoML tools like H2O.ai, Google AutoML, or DataRobot. Familiarity with reinforcement learning and multi-agent systems . Exposure to AI ethics, model interpretability, and explainable AI (XAI) . Knowledge of Graph Neural Networks (GNNs) and Knowledge Graphs . Education & Experience: Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field . 4-7 years of hands-on experience in AI/ML, cognitive computing, and NLP. Why Join Us? Work on cutting-edge AI projects with a team of experts. Opportunity to develop and deploy generative AI models for real-world applications. If you're passionate about cognitive AI, Abuse Management, LLMs, fraud detection, and data science , apply now!

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit operations. Roles and Responsibility Manage and process loan applications according to company policies and procedures. Conduct thorough credit analysis and risk assessments to determine client creditworthiness. Develop and maintain relationships with existing clients to ensure timely payments and resolve any issues that may arise. Collaborate with internal teams to identify new business opportunities and grow the bank's customer base. Monitor and report on credit portfolio performance, identifying areas for improvement and implementing strategies to mitigate risks. Ensure compliance with regulatory requirements and industry standards in all credit-related activities. Job Requirements Strong knowledge of credit operations, including credit scoring, underwriting, and risk assessment. Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and colleagues. Proficiency in Microsoft Office and other banking software applications. Ability to work in a fast-paced environment, meeting deadlines and achieving targets. Strong analytical and problem-solving skills, with attention to detail and accuracy. Experience working in a similar role within the BFSI industry is preferred.

Key Responsibilities This position is for an Analyst with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of risk models (IRB, IFRS9, Custom Scorecards and others) and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation profiling analyses, assist business implementation of sophisticated Regulatory and Scoring models and providing analytic support to Standard Chartered businesses across the globe. Skills and Experience Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Verbal/Written communication Presentation skills Highly motivated, organized and methodical Qualifications Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline Good understanding of retail banking / small business / consumer finance products and business life-cycles (e. g. sales, underwriting, portfolio management, marketing, collections) 0-2 in-depth years experience in hands-on Statistical Modeling in credit risk for retail banking / small business / consumer finance portfolios Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis Hands-on experience in mining data and understanding data patterns Experience in directly interacting with Business and exposure to International markets will be a plus About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 29835

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Business Analyst Business: HSBC Global Private Banking Wealth Principal responsibilities Support the management of core business activities across Models, relating to: (1) Model Design, Development, Validation Implementation, (2) Model Portfolio, Risk Analytics Risk Mitigation, (3) Model Monitoring, Control, Standards Documentation, and (4) Model Governance across HSBC Group, Policy Regulatory Risk. The roleholder will be responsible for development of investment and wealth models - (i) designing and execution of product risk ratings for Mutual Funds, Bonds, Structured Products and Stocks. (ii) design and maintain the Strategic Asset Allocation (SAA) and Aladdin advisory model used for Advisory and Discretionary businesses. (iii) Help develop Artificial intelligence (AI) model applications for Global Private Banking Wealth business. (iv) Develop different propositions and client capabilities to support investing framework, margin trading, etc. As an expert in investment product risk, they will also provide key enhancements into designing future state methodologies for investment models. Optimise Expected Credit Losses (ECL) and Risk Weighted Assets (RWAs) Work across Global Private Banking to effectively manage model risks, increase model coverage and implement globally consistent model systems, standards, policies, processes, methodologies and governance across all regions. Engage with stakeholders across all areas, business functions, and regions in identifying local regulatory issues, feeding these requirements into global model program design and ensuring compliance with global and local model regulations. Develop and review models according to feedback or requirements from our stakeholders, prepare pre-implementation validation reports for local use (countries or legal entities), develop models specific to a country or a business if required by regulators, support annual model validations, check the run, monitoring and validation of data, develop model prototypes, implement models, UAT of the models, and maintain official model documentation. Administrate global and local governance through the Model Oversight Forum and other technical committees, Audit, oversight the global and local model output to ensure its being appropriately used, and support the local and global business teams in model use. Run the model, produce global and local results, rollout models to new legal entities as required, run stress tests, document the processes, calculation runs and checks, monitor the model, and statistically validate the input data (scenario and internal loss data). Enhance Data infrastructure to support all credit models. Requirements Undergra duate degree or equivalent. . Advanced Degree (Masters, PhD) . Function specific certification or degree (Charted Financial Analyst). Experience in Private Banking/Wealth modelling is advantageous and understanding their unique model risks when compared to other areas. Experience with Stress testing regulatory articles and ability to scope them to Private Banking is advantageous. An understanding of investment, banking, credit and insurance products and services is an advantage. Effective presentation, interpersonal, negotiation, communication and analytical skills. Recognised strong organisational skills. Knowledge of authoring policies, standards, governance lifecycle process, frameworks, and Target Operating models. Good understanding of portfolio management techniques including analytics. Coding and modelling languages such Python, Matlab, Visual Basics. You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.