212 Risk Analytics Jobs - Page 3

Skill required: Property & Casualty - Catastrophe Risk Management Designation: CAT Modeling & Analytics Specialist Qualifications: BE Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Cat Risk Analytics team develops technical solutions, applications and tools to support General Insurance business with risk analysis, pricing, portfolio analytics and cat modeling-Develop, maintain and support account pricing/valuation tools and modules-Develop, maintain and support cat modeling for account and portfolio-Develop, maintain and support data for hazard analytics-Develop, maintain and support hazard analytics for natcat and man-made cat risk-Develop, maintain and support portfolio analytics and portfolio modeling tools-Proof-of-concept new ideas (tools and data) quickly for risk analysis, pricing and portfolio analysis-Provide business support by responding to adhoc requests and reports in a timely manner What are we looking for Geo-Spatial Developer/Expert:Strong hands-on experience in Geo-spatial data and technologies, and depth in GIS best practices and principles; Must be able to work independently on technical tasksExpert in ESRI/ArcGIS tool suite - ArcMap/ArcGIS Pro, ArcGIS Server, ESRI/JavaScript, ArcPy (Python)Geo-spatial SQL programming (Oracle Spatial or PostGreSQL) is required.Experience in Python programming is requiredExperience in spatial data processing tool like Safe/FME desktop is required.Demonstrated experience with 3rd party data sources and geo-coding tools is requiredDemonstrated willingness to perform data analysis, and ability to abstract rules for data store and processing. Experience with large data is requiredExperience in Insurance/Reinsurance domain is highly desirable.Able to think independently and creativelyExperience with responding to production business queries and issues in a timely mannerClear and effective communicationStrong attention to detailExcellent time-management skills and multi-tasking under pressureMust be able to balance and adjust to changing organizational prioritiesDrive to solve problems and self-motivated learningMust be able to think outside of the box and have the ability to work in a small, collaborative team environment.Ability to work with global teams in a collaborative modeAbility to deal effectively and courteously with users and colleaguesMust be able to work outside of normal business hours, including evenings, weekends and public holidays, as necessary Roles and Responsibilities: Qualification BE

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Experience of 3+ years working with financial products and market risk while employed at an asset management firm or risk technology vendor. Solid working knowledge of all financial products with an emphasis on MBS, ABS and structured products. Strong knowledge of key market risk analytics including DV01/CS01/OAS/option Greeks and Value at Risk (VaR).

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you re close but not an exact match, we encourage you to apply. We d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Overview Analytics is at the heart of decision making. At the GCOE, we leverage our proprietary data, use proven techniques and expertise built over years, and help Gallagher with its business expansion and retention goals. With our infrastructural capabilities, our teams are able to source, forecast, visualize, model, and manage data seamlessly. GCOE provides support in sourcing, cleansing, and modelling data to support sound decision making. At the GCOE, we have built teams which effectively use tools which is a confluence of data science, actuarial science, engineering, meteorology, and seismology to build CAT models and Pricing models. Primary focus of the role is to provide guidance and assistance to account teams and clients, by using actuarial concepts & decision making tools. How youll make an impact Apply skills in order to provide and present reports that measure client financial status, track expenses by product line, renewal projections, funding levels and rates, etc. Maintain proficiency and understanding of various proprietary Models and Tools to calculate financial results. Analyze data from carriers on complex clients and provide recommendations to Client Servicing teams. Preparing and analyzing on various client deliverables, as defined by the scope of services of the Actuarial team. Demonstrates understanding of whether analysis makes sense ; can think beyond the numbers on the page. Conduct any activity for special assignments as assigned by management. Demonstrate competence with collection of required data and materials needed for the successful completion of various projects. Proficient and compliant with internal systems. Strong oral and written communications and presentations. Ability to communicate effectively in fast pace work environment Effectively navigate through conflict Excellent communication skills (both orally and in writing) Initiative to continue growing personally and professionally as our industry changes and business need changes Must be able to persuade others to provide items needed to complete this job within pre-established timeframes Must demonstrate ability to work professionally as a team member in a group with diverse backgrounds Must have initiative and be properly assertive in presenting new ideas About you Graduate/Post-Graduate in any Quantitative Discipline Candidate with Actuarial/Stats background Good knowledge of Actuarial Concepts & Statistics (Intermediate Level) Should be on Actuarial journey (Min 3 exams cleared from IFoA). Good knowledge of MS Excel & VBA Python & R (Intermediate Level) Excellent analytical skills Additional Information We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and it s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the commu nities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out Th e Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color , religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics ) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. ","

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you re close but not an exact match, we encourage you to apply. We d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as The Gallagher Way,is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Overview Gallagher Re actuarial team uses deep actuarial skills along with high quality analytical and problem-solving prowess to assist clients in enhancing their business performances and optimize their reinsurance portfolios. The expertise obtained over the several years of market presence allows the client-oriented teams to provide finest services. The candidate will work in Reinsurance Pricing teams for business lines like Property Casualty, Motor, and/or Specialty lines like Aerospace and Marine. The teams provide pricing of contracts and dynamic portfolio optimization for international clients, serviced via our international offices. How youll make an impact The principal responsibilities for the candidate will be: Data cleansing and processing to facilitate actuarial analysis Assist on-shore stakeholders and Actuaries in performing Actuarial Pricing Analysis such as Experience rating and Exposure rating for building a comprehensive, multi-dimensional loss model in accordance with client risk profiles and industry norms Estimating reinsurance pricing and determining optimal Reinsurance Strategies Prepare and provide reports and decks for the performed analyses Contribute towards the Industry studies and Benchmarking activities, that aim at promoting Gallagher Re as thought leader in reinsurance marketplace Contribute to development of innovative concepts, tools or automating current process. About you Graduate/Post-graduate, preferably in Stats/Maths/Eco/Commerce A student member of any of the following institutes: Institute of Actuaries of India (IAI) Institute of Faculties of Actuaries UK (IFoA) 3-6 Actuarial exams cleared as per the new Curriculum, along with zeal of pursuing the qualification further Professional communication skills, both written and oral Good understanding of insurance and reinsurance concepts Strong analytical and problem-solving skills Propensity to think beyond the assignment at hand and show ability to be detail oriented Driven to take initiatives and challenging work Ability to work collaboratively in team Ability to turn around work of professional quality within set deadlines Excellent MS Office skills, particularly Excel is essential Knowledge of VBA, SQL, Python, R, Power BI etc. is added an advantage A relevant internship or industry experience of 2 5 years will be an added advantage. Additional Information We value inclusion and diversity Inclusion and diversity (ID) is a core part of our business, and it s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the commu nities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out Th e Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color , religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics ) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. ","

Job Summary Manager, Global Treasury Quants Job Description What you need to know about the role The Manager , Global Treasury Quants role will provide broad exposure to all core Treasury activities, while working with management across the regions. This is an Individual contributor role. Meet our team The Global Treasury Quants team is responsible for improving Treasury s risk management framework related to covered risks, developing Treasury data and reporting infrastructure, and providing risk analytics to Treasury, Financial Risk oversight function, and Capital Risk Committee. PayPal is a global company operating in the competitive and dynamic payments Industry. The Treasury function at PayPal plays a critical role in managing PayPal s liquidity, market and counterparty related risks ( covered risks ) and is responsible for ensuring compliance with liquidity coverage ratios, solvency ratios, and other similar regulatory requirements globally. Your way to impact The Manager, Global Treasury Quants will partner with multiple teams within and outside Treasury to drive the implementation of key initiatives related to risk management, reporting, analytics, and governance. Your day to day Responsibilities will include, but are not limited to Treasury Analytics Build and maintain liquidity and capital forecasting models for PayPal s material entities to ensure appropriate funding levels over normal and stress periods, in addition to providing analytics that are necessary for entity level prudential reporting (ILAAP, ICAAP, Stress Tests, Recovery Plans, Contingency Funding Plans) Design and implement dashboard-based analytics platform and tools to enhance Treasury s performance reporting and risk monitoring capabilities Create and maintain applications for monitoring compliance with Treasury policies Create and maintain automated tools and dashboard for monitoring performance of quantitative models for regulatory processes Treasury Risk Management Implement Treasury s risk management framework including policy, reporting and analytical insights related to covered risks at group and entity level Establish and monitor Risk appetite tolerances, key risk indicator limits and thresholds, stress tests, escalations and notification procedures Partner with Treasury Transformation, Common Platforms and Enterprise Data, and Regulatory Reporting teams to develop Treasury data infrastructure What do you need to bring- You need to have an experience on below tools for Analytics Visualization tools - Tableau/Power BI SQL (familiarity with database design concepts) Python (or meaningful experience in other programming languages) You need to have experience on below finance skills Financial/Balance sheet modelling Financial instrument valuation Market / Credit/ Liquidity/ Financial Risk Regulatory Stress testing ILAAP / ICAAP, Recovery plans, Contingency funds plan etc. Qualification/ Experience needed 7-12 years, with 5+ years in financial risk, analytical modelling, investments, or related areas Bachelor s Degree in a quantitative field - Engineering/Statistics etc. Progress towards CFA or FRM designation 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. . 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.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Manager, Global Treasury Quants Job Description: What you need to know about the role: The Manager , Global Treasury Quants role will provide broad exposure to all core Treasury activities, while working with management across the regions. This is an Individual contributor role. Meet our team The Global Treasury Quants team is responsible for improving Treasury s risk management framework related to covered risks, developing Treasury data and reporting infrastructure, and providing risk analytics to Treasury, Financial Risk oversight function, and Capital Risk Committee. PayPal is a global company operating in the competitive and dynamic payments Industry. The Treasury function at PayPal plays a critical role in managing PayPal s liquidity, market and counterparty related risks ( covered risks ) and is responsible for ensuring compliance with liquidity coverage ratios, solvency ratios, and other similar regulatory requirements globally. Your way to impact: The Manager, Global Treasury Quants will partner with multiple teams within and outside Treasury to drive the implementation of key initiatives related to risk management, reporting, analytics, and governance. Your day to day: Responsibilities will include, but are not limited to: Treasury Analytics Build and maintain liquidity and capital forecasting models for PayPal s material entities to ensure appropriate funding levels over normal and stress periods, in addition to providing analytics that are necessary for entity level prudential reporting (ILAAP, ICAAP, Stress Tests, Recovery Plans, Contingency Funding Plans) Design and implement dashboard-based analytics platform and tools to enhance Treasury s performance reporting and risk monitoring capabilities Create and maintain applications for monitoring compliance with Treasury policies Create and maintain automated tools and dashboard for monitoring performance of quantitative models for regulatory processes Treasury Risk Management Implement Treasury s risk management framework including policy, reporting and analytical insights related to covered risks at group and entity level Establish and monitor Risk appetite tolerances, key risk indicator limits and thresholds, stress tests, escalations and notification procedures Partner with Treasury Transformation, Common Platforms and Enterprise Data, and Regulatory Reporting teams to develop Treasury data infrastructure What do you need to bring- You need to have an experience on below tools for Analytics: Visualization tools - Tableau/Power BI SQL (familiarity with database design concepts) Python (or meaningful experience in other programming languages) You need to have experience on below finance skills: Financial/Balance sheet modelling Financial instrument valuation Market / Credit/ Liquidity/ Financial Risk Regulatory Stress testing ILAAP / ICAAP, Recovery plans, Contingency funds plan etc. Qualification/ Experience needed: 7-12 years, with 5+ years in financial risk, analytical modelling, investments, or related areas Bachelor s Degree in a quantitative field - Engineering/Statistics etc. Progress towards CFA or FRM designation 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 Title: Risk Analyst - Commerce Reports To: Lead Fraud Risk Commerce "LOOKING FOR CANDIDATES ONLY FROM E-COMMERCE COMPANIES" About the Role: We are seeking a skilled and detail-oriented Risk Analyst to join our Commerce Risk team. This role is critical in driving risk intelligence through data-backed insights and timely analysis. The ideal candidate will not only work with large datasets and analytical models but will also be responsible for translating technical findings into clear, actionable summaries for leadership and crossfunctional stakeholders. The analyst is expected to identify risks, uncover patterns in user behavior, and support strategic risk mitigation decisions across the platform, particularly in the areas of customer abuse, promotional misuse, and trust violations. Key Responsibilities: Prepare and analyze complex datasets to identify risk patterns, surface anomalies, and validate business hypotheses. Build concise summaries and visualizations that simplify technical data for diverse audiences, enabling informed decision-making across Risk, Product, and Business teams. Communicate insights through clear narratives , providing actionable recommendations and highlighting associated risks and trade-offs . Design and execute BI and reporting frameworks to monitor key metrics, rule performance, and customer impact across commerce brands. Collaborate with data engineering teams to maintain robust data pipelines and models for risk signal generation. Contribute to data modeling efforts and manage risk-centric data structures within the data warehouse. Support development and refinement of risk rules and machine learning models to strengthen detection of fraudulent or abusive behaviors. Maintain documentation and continuously evolve analysis SOPs based on the latest business rules, thresholds, and ecosystem learnings. Role Requirements: Bachelors degree in a quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, or a related field. 3 - 5 years of hands-on experience in risk analytics, fraud detection, or business intelligence , preferably within eCommerce or fintech domains. Proficient in SQL and Python for data extraction, transformation, and visualization; exposure to tools like R, Tableau, Power BI is a plus. Strong understanding of data warehousing, data modeling , and performance monitoring techniques. Experience working with rule-based and predictive risk frameworks is preferred. Excellent communication and storytelling skills, with the ability to present insights to nontechnical audiences in a structured and impactful manner. Proven experience working in cross-functional environments , balancing business priorities and analytical rigor. Basic Qualifications: Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Economics, Computer Science , or a related field.

Management Level: Ind & Func AI Decision Science Senior Manager Location: Gurgaon,Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead client engagements that may involve model development, validation, governance, risk strategy, transformation, implementation, and end-to-end delivery of risk management solutions for Accentures clients. Advise clients on a wide range of Credit, Market, and Operational Risk and Management/Analytics initiatives. Projects may involve Risk Management advisory work for CROs, CFOs, etc., to achieve a variety of business, operational, and regulatory outcomes. Be a trusted advisor to senior executives and management on their business needs and issues. Develop and frame a Proof of Concept for key clients, where applicable, including scoping, staffing, engagement setup, and execution. Practice Enablement Mentor, groom, and counsel analysts, consultants, and managers to be successful and effective Management Consultants. Support development of the Risk Analytics Practice by driving initiatives around staffing, quality management, recruitment, capability development, knowledge management, etc. Develop thought capital and disseminate information around current and emerging trends in Financial Risk Management. Contribute to development of Accenture Points-of-View on a variety of risk analytics topics. Publish research and present ideas at industry conferences and seminars. Opportunity Development Identify business development opportunities for our Risk Management offerings in the Banking and Capital Market domains. Develop compelling business case/response to new business opportunities. Work with deal teams to provide subject matter expertise on credit, market, and operational risk-related topics and participate in development of client proposals and RFP responses. Client Relationship Development Develop trusted relationships with internal and external clients and have an eye for qualifying potential opportunities and negotiating complex deals. Build strong relationships with global Accenture Analytics and Risk Management teams, and further develop existing relationships based on mutual benefit and synergies. Professional & Technical Skills: 11-15 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: Risk Ratings, Credit Risk Methodology, PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Market Risk: Stress Testing, Liquidity Risk, Counterparty Credit Risk, PPNR/Revenue/Loss Forecasting, Pricing. Operational Risk: Fraud Risk, Collections and Recovery, Credit Policy and Limit Management, Fraud Risk, Counterparty Credit Risk. Regulatory Knowledge: Basel II/III, Solvency, FRTB, CCAR, IFRS9/CECL, etc. Strong understanding of banking products across retail and wholesale asset classes, and expertise in frameworks and methodologies used in risk analytics for banking portfolios. Expertise in risk strategy design and supporting analytics for banking portfolios. Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms. Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA, Moodys Risk Calc, Bloomberg, Murex, QRM. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. Willingness to travel up to 40% of the time. Qualification Experience: Minimum 11-15 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Controllers Strats is a multidisciplinary group of quantitative experts within the controllers division, that help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex quantitative solutions across multiple areas: Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments. Revenue analysis and modelling that governs new activity review, valuation adjustments and analytics for sign-off of daily PL for all market making desks. Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape. Why join the team Gain exposure to quantitative models that span over multiple disciplines including statistics, data analytics, machine learning, stochastic calculus, convex optimization. Tackle quantitative problems like modeling risks for derivatives and large scale optimization problems. Apply machine learning and data science skills in finance. Understand regulatory frameworks and manage capital resources using quantitative skills. Autonomy: Engage with business users and engineers to propose tailored solutions. Responsibilities Build and own models in the key focus areas highlighted above which are Independent Price Verification, Regulatory Capital and Revenue. Work in a dynamic, fast-paced environment that provides exposure to all verticals of the firm s business. Build strong relationships with business partners and senior stakeholders. Ensure firm s compliance with critical regulatory requirements. Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members.[ only for VP / associate ] Qualifications PhD, masters or bachelor s degree in a quantitative field such as mathematics, physics, statistics or engineering. Experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Excellent communication skills including experience speaking to technical and business audiences and working globally. Ability to multi-task and prioritize work effectively.

Title : S&C Global Network - AI - CFO & EV - Treasury & EPM Analytics - Manager Job Title - S&C Global Network - AI - CFO & EV - Treasury & EPM Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Treasury Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Whats In It for You Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What You Would Do in This Role Engagement Execution Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of EPM, Treasury & Tax for Accentures clients. Advise clients on various EPM, Treasury & Tax initiatives, including advisory work for CXOs to achieve diverse business and operational outcomes. Develop and present Proof of Concept for key clients, where applicable. Practice Enablement Mentor, coach, and guide analysts and consultants. Drive innovations and initiatives to enhance the Practice. Develop thought leadership and disseminate information on emerging trends in EPM, Treasury & Tax. Support sales team efforts by assisting with RFPs, RFI, designing POVs, and GTM collateral. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Good experience with data, analytics, and AI technologies & tools, with a data-native mindset and a deep understanding of statistics for business applications. Must have functional expertise in treasury management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have functional expertise in Enterprise Performance Management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have led teams, driven interactions with senior stakeholders, designed AI-led transformation solutions, overseen program delivery, and value realization. Must be part of prior solutioning and proposal deals. Good to have hands-on experience in building and deployment of AI/ML/Statistical Models -- Statistical Algorithms, Segmentation and Predictive Modeling, ML algorithms, CV / NLP algorithms, Decision Trees, LLM based solutions etc. Good to have experience in multiple industries. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk: Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Summary: Job Function: Model Development Associate Consultant/Consultant, is a key member of the Risk Analytics and Data Service Team and Responsible for acting as an individual contributor in the development and maintenance of high quality risk analytics. Resolves complex issues in Credit Risk/ PPNR modelling and measuring risk, enhancement in Credit Risk/ PPNR methodologies or other aspects of risk measurement. Job title: Associate Consultant/Consultant Location: Bangalore Experience: 4-8 years of relevant experience Major Duties Responsible for Development of CCAR models (PD/EAD/LGD) , CECL models (PD/EAD/LGD) and Basel models (PD/EAD/LGD). Also for PPNR model development for Non-Interest Income, Net Interest Income, Expense, Deposit, Balance models. Ensures regular production of analytical work.. Collaborates with regulators, Audit Services, and other independent reviewers. Evaluates existing framework in relation to corporate objectives and industry leading practices. Assesses development needs and manages process to achieve desired future state. Supports stress testing, capital quantification and/or internal capital allocation methodologies. Ensures that modelling approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance. Provides technical/theoretical inputs to resolve risk issues and enhance overall risk framework. Works with other risk or business unit teams to ensure that risk management policies/processes and quantitative modelling approaches are consistent. Operates independently; has knowledge of banking balance sheets and income statements. Conducts analysis, independently ensuring accuracy and completeness. Responsible for interaction with different committees and/or senior management. Qualification: Master in Statistics/ Economics/Mathematics/advanced degree in quant area Or B.tech. From tier 1 college with MBA in related field Skills Required: Strong BASEL, CCAR and DFAST, SR-11/7 understanding. Strong regulatory understanding 2+ years of hands on model building experience in Credit Risk / PPNR Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques including familiarity with statistical concepts used in stress testing Strong in quantitative skills - experience in model validation a plus Experience in R, SAS, Matlab, advanced Excel techniques and VBA programming. SAS is preferred Strong Experience in building linear regression models, Nonlinear regression, time series modeling (ARIMA, AR, VAR, MA ) and stochastic process Strong organizational and interpersonal skills Excellent verbal and written communication skills (English) Experience of working in a multi-cultural and global environment Related Industry qualification (e.g., CFA, FRM) a plus

Summary: The Model Risk Management Group (MRMG) is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators increasing attention on model risk. We are searching for an Senior Consultant, Risk analytics to join our team. The primary responsibility of this role is to act as a lead contributor in the discovery and diagnostic of model related risks including input data, assumption, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring and model implementation. Specific Responsibilities Validates models that are typically developed in Python or R and occasionally SAS. Able to challenge conceptual soundness of regression and machine learning models as well as assure that appropriate and good quality data was used for development. Has advanced proficiency of financial models used in portfolio analysis, asset management, Value at Risk, Monte Carlo, CAPM, Factors. Has solid understanding of risks that are posed by AI/ML models (Fairness, Privacy, Transparency and Explainability, etc.) Has good understanding of stress testing, CCAR, CECL, etc. Solves complex quantitative problems and takes a new perspective on existing solutions. Acts independently and analyzes possible solutions using technical experience and judgment and precedents. Develops and maintains an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis. Utilizes expertise in machine learning algorithms and statistics to challenge how algorithms are selected, trained and tested. Perform reviews of bank-wide quantitative models including models used for CECL and CCAR/DFAST stress testing, credit risk loss projections (PD, LGD, EAD), operational risk, interest rate risk models, AML (Anti-Money Laundering and Fraud Detection), and various machine learning models. Ensure model development, monitoring, and validation approaches meet regulatory expectations such as SR 11-7 and internal risk management needs. Evaluate conceptual soundness of model specifications; reasonableness of assumptions and reliability of inputs; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with model use. Review model documents, and conduct test runs on model codes. Assess and measure the potential impact of model limitations, parameter estimation, error and/or deviations from model assumptions; compare model outputs with empirical evidence and/or outputs from model benchmarks. Document and present observations to Model Validation Team Lead and to model owners and users, recommend remediation action plans, track remediation progress and evaluate remediation evidence. Monitor model performance reports on an on-going basis to ensure models remain valid, as well as contribute in the bank-wide model risk and control assessment. Support development of comprehensive documentation and testing of risk management framework. Deliver a work product that requires little revision. Establish and maintain strong relationship with key functional stakeholders such as model developers, model owners, and users. Qualifications: 8 - 10 years of modeling or quantitative analysis experience, preferably in a discipline relevant to risk management to include statistical/mathematical and financial modeling. A College or University degree in STEM field, mathematics, actuarial science, engineering or statistics or related discipline (Advanced degree preferred). Good interpersonal, verbal, and written communication skills. Programming experience in Python required, experience in SAS and R desired. Mastery of analytical tools, such as, Excel as well as Word and PowerPoint is required. Deep understanding of linear regression and logistic regression. Experience with Machine Learning models (supervised/unsupervised learning, neural networks, classification, clustering, hyperparameter tuning, etc.) desired. Familiarity with cloud and big data technologies is desired.

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Youll lead the Data Science function supporting Lending, overseeing credit risk scoring models across PD, LGD, and collections. Youll guide the team in leveraging alternative data to improve model accuracy and signal. Youll lead the full model lifecycle driving strategy, standards, and execution across model development, validation, deployment, and monitoring. Youll partner with business, risk, and ops leaders to shape the credit roadmap and influence decisions with data-driven insights. You are experienced in leading teams while being hands-on when needed. This role is suited for professionals with 10+ years of experience in data science and risk analytics. You will report to Head of Data Science and this role is onsite based in Bangalore. The Critical Tasks You Will Perform Lead the team in building predictive models to separate good vs bad borrowers using ML and traditional methods Drive development of ML and deep learning models for loss estimation across portfolios Oversee model validation and performance monitoring across diverse data sets Guide feature engineering strategies and explore new external data sources Champion model governance in collaboration with risk, compliance, and audit teams Ensure timely identification of performance drifts and lead model refresh cycles Communicate modeling outcomes and trade-offs to senior leadership and key stakeholders Translate analytics into strategic levers policy, pricing, targeting, and credit expansion Set the vision for solving hard data science problems using best-in-class ML techniques Read more Skills you need The Essential Skills You Need Expertise in Python for ML model development, with experience building scalable, production-grade solutions Proficient in Spark, SQL, and large-scale distributed data processing frameworks Grasp of advanced ML concepts, including model interpretability, bias mitigation, and performance optimization Experience with ML/DL libraries (scikit-learn, XGBoost, TensorFlow/PyTorch) and guiding teams on their best use Working knowledge of MLOps and orchestration tools (Airflow, MLflow, etc.), with experience standardising model deployment pipelines Exposure to LLMs and Generative AI, with a perspective on their potential applications in credit risk Ability to lead design of robust, reusable feature pipelines from structured and unstructured data sources Familiarity with Git, CI/CD, and model versioning frameworks as part of scaling DS delivery Strong problem-solving mindset and ability to coach team members through complex modeling issues With experience aligning technical outputs with business strategy Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Candidate Responsibilities: Technical Implementation of the Aladdin Wealth platform including the coding and configuration of Aladdin Wealth s optimization engine, development of custom asset classification schemas, modeling of complex derivatives (e.g. Structured notes), configuration of Aladdin risk models and management of large volume data processes to ensure successful daily delivery of the platform. Enhance technical architecture to integrate Aladdin Wealth into client s existing tech ecosystem through implementation of APIs, Extracts and User Interfaces. Consult with clients to understand their commercial business objectives and work with them to implement our product in a way that helps transform their business consistent with their strategic priorities. Implement models and build the technical infrastructure to support wealth native complex derivatives including Structured Notes, Annuities, Alternative products etc. within the Aladdin Wealth platform. Work with the global Aladdin Wealth team to help implement clients on the Aladdin Wealth platform. This includes understanding our client s business and their requirements, and working with them to implement our product in a way that helps transform their business. Enhance Aladdin Wealth Tech s Funds Data and Analytics product: - Manage models and maintain risk analytics and governance structures for funds within Aladdin. Leverage Aladdin risk models and the teams proprietary methodologies to generate risk for global funds. Streamline and automate the funds data services, analytics and risk generation process through production and engineering improvements. Develop an understanding of BlackRock s proprietary risk models and serve as a subject matter expert on risk analytics for products such as funds, equities, fixed income, derivatives, and alternatives. Develop an understanding of wealth management landscape across the globe and key industry trends and growth drivers. Consult with clients on the best way to leverage Aladdin Wealth Optimization capabilities to maximize the growth potential of a client s Discretionary and Advisory platforms. Support technology initiatives within the team to grow the Aladdin Wealth Product offering and improve scalability and efficiency of the platform. Candidate Skills/ Requirements: Undergraduate/Post Graduate Degree in Engineering (BE/BTech), Statistics, Business Management or equivalent. 4-6 years of industry experience. Experience in product implementation, product support and client servicing Excellent problem solving and quantitative skills. Strong spoken and writtencommunication/presentationskills should be able to converse freely with clients/ global counterparts. Deep interest in the domain of finance and willingness to learn about financial markets and risk management concepts. Deliver high level of service through responsiveness and accuracy & has an eye for detail. Good to have skills: Knowledge of financial instruments and portfolio analysis including understanding of at least one product type across Fixed Income (Govt and corporate bonds, Funds etc.), Equity (Single-line equities, Funds etc.) and Alternative (Private Equity, real-estate etc.) products. Knowledge of programming languages used for modelling and analytics configuration including citizen developer languages like SQL, Python, R and JavaScript or Object-Oriented Languages like C++, Java, and Scala. CFA/FRM is a plus Knowledge of derivatives like equity and fixed income options or more complex instruments like Structured Notes Knowledge of statistical concepts including linear and non-linear regression or an understanding of statistical measures like correlation, covariance, mean, tstat, max drawdown etc. Understanding of Portfolio Risk concepts like Volatility and Value-at-Risk Knowledge of Data Analysis and Visualization techniques Knowledge of Simulation or Optimization techniques Versatility, flexibility, and a willingness to work with changing priorities.

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 1-3 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

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 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 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 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 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. . 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. 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Job Summary Responsible for performing a variety of moderately complex risk analytics with focus on Treasury/ALM and AI/ML models. Resolves moderately complex issues in advanced data modeling and measuring risk. Provide effective challenge to the models by evaluating model related risks including input data, model assumptions and limitations, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation. This role requires a combination of strong quantitative skills and AI/ML technical knowledge. Major Duties Validation of moderately complex analytical models used in Treasury, Asset and Liability Management (ALM) and Asset Management Validation of Artificial Intelligence (AI), Machine Learning (ML) and Generative AI (GenAI) models o Independently validate AI/ML and GenAI models across supervised, unsupervised, reinforcement learning and foundation model categories. o Evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles. o Assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques. Ensures model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs. Provides analytical or risk measurement support to help meet both internal corporate and regulatory requirements. Develop in-depth knowledge of business unit / function and complex modeling techniques used. Clearly communicate the complex issues/findings of the model validation outcomes to stake holders. Keep abreast with latest regulatory requirements around model risk management. Assesses validation requirements and actively provides solutions to enhance the model validation framework. As part of centralized Model Validation team within the bank, expected to work on varied areas of risk management. Knowledge/Skills Good understanding of Balance sheet, valuation methodologies of fixed income and FX derivatives instruments Strong knowledge of AI/ML techniques including classification and clustering, gradient boosting, neural networks, NLP models, and foundational models like GPT, BERT, etc. Experience in validating machine learning models for performance, fairness, explainability, and compliance; Familiarity with GenAI risks and controls: hallucination detection, retrieval-augments-generation (RAG), prompt engineering, etc. Excellent oral and written communication skills Knowledge of risk measurement required to support function. Strong analytical and problem-solving skills Experience Required Advanced degree in quantitative discipline (Finance, Math, Statistics, and Economics) or Advanced degree in Computer Science with focus on AI/ML or equivalent career experience preferred. A relevant work experience of 4 to 6 years is required. Strong Preference for candidates with certifications in AI/ML or CFA/FRM/CQF Proficiency in Python and libraries, and Cloud platforms (Azure, AWS) 4 to 6 years of relevant experience Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for . We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Function: Model Validation Responsible for contributing to the validation of a complex quantitative risk models or capital Allocation framework for the Corporation (CCAR/CECL/IFRS9/PPNR) Understands and resolves complex issues in algorithms, models and other risk measurement frameworks, allocation of capital for performance measurement, or other aspects of risk measurement preferably in credit risk with a flavor of AI/ML approach. Hands on understanding of AI/ML algorithms like Regression, Decision Trees, Na ve Bayes, kNN, Random Forest, neural networks etc Strong Programming skills in SAS/R/Python etc Major Duties Responsible for validating complex statistical and/or algorithmic models - Risk / Regulatory / Capital / Treasury / InterestRate / EconomicResearch / Fraud / Compliance models etc. Responsible for resolving complex issues in capital estimation, regulatory reporting, external financial statements or other aspects of risk measurement Responsible for quantitative model validations and/or overseeing quantitative analytical processes for risk and/or ensures regular production of analytical work and reports Evaluates existing framework in relation to corporate objectives and industry leading practices. Assesses development needs and manages process to achieve desired future state Provides technical/theoretical expertise to resolve risk issues and enhance overall risk framework Works with other risk teams to ensure that risk management policies/processes and quantitative modeling approaches are consistent Ensures that capital modeling and allocation approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance. Works with project management team to track development efforts and resolve issues Operates independently; has in-depth knowledge of business unit / function Acts as subject area expert, provides comprehensive, in-depth consulting and leadership to team and partners at a high technical level Carries out complex activities with significant financial, client, and/or internal business impact Role is balanced between high level operational execution and development, and execution of strategic direction of business function activities Conducts preliminary analysis Responsible for interaction with different committees and/or management May be responsible for developing, implementing and administering programs within Risk Management for specific product(s) Knowledge/Skills Excellent oral and written communication skills are required. Strong analytical and problem solving skills combined with conceptual and technical knowledge of risk concepts Technical and quantitative skills like regression (linear/logistic/multinomial), decision tree, SVM, Naive Bayes, kNN, K-Means, Random Forest etc Systems knowledge (e.g. SAS, R, Python, Advanced Excel, VBA) will be strongly preferred Conceptual understanding about AI/ML models and validation techniques Experience Required A PhD or College or University degree and/or relevant proven work experience is required Advanced degree in related field (math, statistics, economics) or equivalent career experience preferred. Banking or similar Industry qualification is preferred. Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for . We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.