198 Risk Analytics Jobs - Page 2

We are looking for an [Analyst or Associate] to join the Private Bank Deposits Team. New joiner will be an integral part of team responsible for daily management of the PB deposits business including deposit pricing and risk analytics, marketing the product and special promotions to advisors and client, developing and executing new product strategy, and managing the business day to day. Pricing & Analytics: Conduct daily and ad hoc pricing and risk analysis to inform standard and exception deposit pricing on an ongoing basis including transaction specific deposit product pricing, e.g., trading term deposits and partnering with advisors to win new assets Perform regular business projections and mark to market against business plan both of which inform overall business strategy Develop and use dashboards to monitor performance against balance and revenue goals Monitor and manage the book within all relevant market risk, liquidity risk limits Run regular competitor analysis for deposit products and ranking across markets Business Management: Create overall product strategy for deposits including defining and prioritizing new products, identifying infrastructure and process improvements to enhance performance against goals, managing issues that arise in the normal course of business Develop and maintain deposit policies, procedures and processes to operate the business effectively and in compliance with all relevant global regulations Support strategic initiatives and projects including banking service feature launches, new products, new branches or regions, changes to pricing or operational frameworks Client Relationship Management: Regional advisor and client coverage including regular interface to drive usable deposit balances, participation in ISG calls or other marketing forums, etc. Develop marketing materials for use with advisors and clients including market updates, banking service marketing, general marketing and promotions Assist with client call preparation by creating review materials, pitchbooks and account reviews. SKILLS & EXPERIENCE WE'RE LOOKING FOR A Bachelor's degree, MBA preferred Foundational knowledge of deposit instruments, liquidity risk or treasury solutions is a plus Experience within financial services, preferably with a quantitative background Ability to work in a fast-paced environment, be organized and think clearly under pressure Strong verbal and written communication skills Attention to detail with ability to operate independently Eager to work in an entrepreneurial environment Collaborative, energetic, enthusiastic, and a self-starter

About this role Are you interested in building innovative technology that crafts the financial marketsDo you like working at the speed of a startup, and solving some of the world s most exciting challengesDo 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: 2-4 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 #EarlyCareers Our benefits . Our hybrid work model . About BlackRock . This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com / company / blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

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 Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Proven track record of applying data science to credit underwriting, risk segmentation, and portfolio management 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 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 Mindset and ability to coach team members through complex modelling 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

The Risk Analyst will play a crucial role in the credit appraisal and risk evaluation process in the wholesale / MSME lending operations. The role involves independent assessment of loan proposals, review of financial and project documents, and assisting the Credit Committee in decision-making process. The position is central to maintaining credit quality across the assigned portfolios and ensuring compliance with internal risk standards. Result Areas of Job Analyze financial statements, cash flow, balance sheets, and income statements of prospective clients to assess their financial health and repayment capacity including potential risks or opportunity. Use defined procedure to review the loan projects and verify the accuracy and completeness of the information provided, including applicable social and environmental guidelines. Interact with concerned unit managers for resolving the observed information gaps / additional clarifications wherever required on the credit appraisals under review. Responsible for preparing credit risk analysis reports of clients, including in-depth financial analysis, business/industry analysis; and make recommendation on loan terms, credit limits, security and internal ratings to Credit Committees. Present credit advice to Credit Committee and provide clarifications as needed. Managing the Credit Committee agenda and taking minutes in the CC meeting Regularly monitor loan performance, Quarterly Performance Reports, compliance of stipulated covenants and identify potential problems or defaults for the assigned portfolio and present findings to internal stakeholders. Support in compilation of department MIS and preparation ppt for presentations to various stakeholders. Education and experience Post graduates in Finance, Economics, Business Administration, Engineering and/or equivalent with 3 5 years of relevant experience in a DFI/Bank/ NBFC. In addition, a degree specialization in Financial Engineering or a professional certification in Finance / Risk is preferred. Relevant work experience in financial services and in credit appraisals. Have worked in similar role like in Wholesale lending / Corporate lending or MSME lending space. Excel skills are crucial for organizing, analyzing, and visualizing data in a presentable form. A quick learner, a self-starter, focused on delivering results and bring a lot of positive energy to the team.

PositionDecision Scientist Roles and Responsibilities:- Regular analysis of the transaction and customer behaviour data to identify the key fraud trends and develop strategies to prevent the fraud and reduce genuine customer impact. Develop key fraud metrics across different merchant categories and communicate portfolio trends with the respective stakeholders. Support ad hoc analytical projects. Interact with cross functional teams (product, tech, operation, compliance, business) to develop fraud risk solutions. Proactively identify opportunities to enhance the current fraud risk management process. Explore new tools and features for better fraud prevention. Work closely with the business team in developing strategies for the new product launch. Skills and Qualifications:- Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline. You must have 3+ years of experience in data analytics / risk analytics / business analytics. Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources. Excellent Excel skills. Strong quantitative abilities, distinctive problem-solving and excellent analytical skills. Strong organisational, communication, presentation and project management skills. Good working knowledge of programming languages like Python, R, SAS. Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting. Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

The PhonePe Fraud Risk Operations team is a high impact team whose goal is to mitigate risk and improve the trust and safety for various PhonePe products. If your dream is to build processes and tools that would impact millions of customers, partnering with some of the best minds and executing on your dreams with purpose and speed, join us! The Key to success in this role is the ability to understand the team’s vision and raise the bar on the job core responsibilities of Operate, Continuous Improvement, Communicate and People Development. The incumbent is required to demonstrate strong performance in the following areas: Responsible for the prevention and detection of potential fraud across all payment channels by reviewing customers’ accounts Work with data to understand patterns and anti-patterns to determine risk activity ranging from Fraud, Identity theft, KYC/EDD, AML and non-compliant activity per RBI. Proactively identifying fraud risks and assessing the adequacy of controls to manage such risks, including recommending enhanced or additional controls Working with support areas such as operations, finance, settlements, risk analytics, compliance and technology in ensuring a high level of control is maintained Proactive in identifying and following up on anomalies/areas of concern Identify fraud patterns through the monitoring of high-risk user and merchants Contribute to the creation of fraud rules by providing analytical data to support decisions Monitor fraud alerts daily and take necessary action to protect customers. Daily updates on any new fraud trends to senior management. Ensure information flow and deliverables are met to mitigate fraud by facilitating weekly calls with stakeholders. . Role : Minimum of 2-3 years of relevant experience in risk operations or fraud investigations or fraud risk analytics. Proven experience across the domain of Risk management & Fraud. Strong oral and written communication skills Team player; ability to build relationships at all levels internally and externally Education qualification - Any graduate/PG Ability to work independently and to liaise with other departments and coordinate with various stakeholders. Has and added advantage if CFE Basic working knowledge of MS Office, SQL PhonePe Full Time Employee Benefits Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Mobile & Broadband Reimbursements, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog . PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

About PhonePe PhonePe is India’s leading digital payments platform with over 280 million registered users. Using PhonePe, users can send and receive money, recharge mobile, DTH, data cards, pay at stores, make utility payments, buy gold, and make investments. PhonePe went live for customers in August 2016 and was the first non-banking UPI app and offered money transfer to individuals and merchants, recharges and bill payments to begin with. In 2017, PhonePe forayed into financial services with the launch of digital gold, providing users with a safe and convenient option to buy 24-karat gold securely on its platform. PhonePe has since launched Mutual Funds and Insurance products like tax-saving funds, liquid funds, international travel insurance, Corona Care, a dedicated insurance product for the COVID-19 pandemic among others. PhonePe launched its Switch platform in 2018, and today its customers can place orders on over 300 apps including Ola, Myntra, IRCTC, Goibibo, RedBus, Oyo etc. directly from within the PhonePe mobile app. PhonePe is accepted at over 18 million merchant outlets across 500 cities nationally. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! Senior Risk Investigator The PhonePe Fraud Risk Operations team is a high impact team whose goal is to mitigate risk and improve the trust and safety for various PhonePe products. If your dream is to build processes and tools that would impact millions of customers, partnering with some of the best minds and executing on your dreams with purpose and speed, join us! The Key to success in this role is the ability to understand the team’s vision and raise the bar on the job core responsibilities of Operate, Continuous Improvement, Communicate and People Development. The incumbent is required to demonstrate strong performance in the following areas: Responsible for the prevention and detection of potential fraud across all payment channels by reviewing customers’ accounts Work with data to understand patterns and anti-patterns to determine risk activity ranging from fraud, AML, identity theft, KYC, and non-compliant activity per RBI. Proactively identifying fraud risks and assessing the adequacy of controls to manage such risks, including recommending enhanced or additional controls Working with support areas such as operations, finance, settlements, risk analytics, compliance and technology in ensuring a high level of control is maintained Proactive in identifying and following up on anomalies/areas of concern Identify fraud patterns through the monitoring of high-risk user and merchants Contribute to the creation of fraud rules by providing analytical data to support decisions Monitor fraud alerts daily and take necessary action to protect customers. Daily updates on any new fraud trends to senior management. Ensure information flow and deliverables are met to mitigate fraud by facilitating weekly calls with stakeholders. . Role : Minimum of 4-5 years of relevant experience in risk operations or fraud investigations or fraud risk analytics. Proven experience across the domain of Risk management & Fraud. Strong oral and written communication skills Team player; ability to build relationships at all levels internally and externally Education qualification - Any graduate/PG Ability to work independently and to liaise with other departments and coordinate with various stakeholders. Has and added advantage if CFE Basic working knowledge of MS Office, SQL PhonePe Full Time Employee Benefits Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

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 Manager - Decision Sciences Principal responsibilities The role holder is expected to perform on the following aspects: Apply innovative thinking and analytical techniques including data mining / modeling techniques as applicable to build regulatory models (Basel pillar 1 IRB models) and model implementation in Python Coordination with internal (within GRA) and external (front line business, regulatory oversight teams, etc. ) stakeholders to understand the requirement of the project and delivery and stick to path of regulatory compliance. Identify areas which require data remediation and proactively engage with internal / external stakeholder to address them. Clear documentation / summarization of the analytical output. Overall model risk management. Promote collaboration with Group and Regional teams to achieve business objectives. Support training and participate in technical workshops to enhance overall teams relevance in the industry. Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers to get best output at the first attempt. Requirements Experience 4+ years of experience in banking domain / regulatory risk analytics/ capital management Hands-on experience on at least one regulatory model development/implementation in python environment would be preferred. Prior experience in risk management, regulatory risk model development/implementation, model risk management would be preferred. Understanding of commercial banking and wholesale related products would be preferred Masters in any numeric discipline Stats/Maths, Engineering (or B-tech with relevance experience), Economics, MS / MBA in Finance. Highly focused on project delivery, attention to detail Excellent written and verbal communication skills Hands-on statistical knowledge with scorecard /econometric model development capability Strong collaborative, influencing and team building skills. Strong analytical and problem solving skills, open minded, flexible, pragmatic Strong documentation and summarizing skills for senior audiences Strong programming skills in Python/SAS and experience of working with large volume of data Willing to work with colleagues in other areas/time zones where appropriate 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.

Risk Analytics - Manager/Senior Manager - Risk Operations LocationNoida, Uttar Pradesh DepartmentOperations & Support Risk Operations-Offline Payments Employment TypeFull-time Employment Work EnvironmentOn-site About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team This team involves in making a difference. A lot of contingency and new challenges are encouraged within the team to do stuff that is meaningful for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will always be change management in Social Media. Why join us If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story! About the Role As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. Reporting to the Senior Manager Fraud Analytics, you will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organizations risk controls are both effective and scalable. Key Responsibilities Develop and refine fraud detection models, leveraging both rule-based and data-driven approaches to prevent and mitigate fraud risks. Monitor real-time transaction data for suspicious activity, escalating concerns and providing recommendations for corrective action. Assist in the configuration of fraud detection rules within the transaction monitoring system, ensuring accuracy and minimal false positives. Analyze fraud trends and transaction patterns to proactively address potential vulnerabilities and emerging fraud schemes. Collaborate with cross-functional teams, including Risk, Compliance, and Product, to ensure fraud risk mitigation strategies are aligned with business objectives. Support fraud-related control projects, from planning through to execution, ensuring compliance with RBI regulations and internal risk frameworks. Assist in preparing fraud risk reports for senior management, outlining key insights, emerging trends, and actionable recommendations. Work closely with the Senior Manager to ensure regulatory requirements are met, including adherence to RBI and other regulatory standards. Continuously improve fraud monitoring tools and techniques, suggesting enhancements to improve fraud detection accuracy and efficiency. Participate in regulatory audits and assist in responding to fraud-related queries from authorities. Qualifications A bachelors degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech or payments industry. Strong understanding of fraud detection techniques, including rule-based systems and data-driven models. Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. Familiarity with RBI guidelines and other regulatory frameworks governing payment companies in India. Strong analytical and problem-solving skills, with the ability to identify trends and make data-driven decisions. Excellent communication skills, with the ability to present insights and findings clearly to both technical and non-technical audiences. Experience working in a high-volume transaction environment, such as a payments gateway, mobile wallet, or UPI system. Preferred Skills: Knowledge of machine learning models for fraud detection. Experience working with fraud detection systems in the fintech space, especially in a licensed TPAP setup. Familiarity with compliance and audit requirements in a regulated financial environment. Why Join Us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our peoples collective energy and unwavering focus on the customers, and thats how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you. With enviable 500 mn registered users, 21 mn merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. Indias largest digital lending story is brewing here. Its your opportunity to be a part of the story!

Analytics - Risk Product Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role: We seek an experienced Assistant General Manager - Analytics for data analysis and reporting across our lending verticals. The ideal candidate will use SQL and dashboarding tools to deliver actionable insights and manage data needs for multiple lending verticals. A drive to implement AI to automate repetitive workflows is essential. Key Responsibilities: Develop, maintain, and automate reporting and dashboards for lending vertical KPIs. Manage data and analytics requirements for multiple lending verticals. Collaborate with stakeholders to understand data needs and provide support. Analyze data trends to provide insights and recommendations. Design and implement data methodologies to improve data quality. Ensure data accuracy and integrity. Communicate findings to technical and non-technical audiences. Stay updated on data analytics trends and identify opportunities for AI implementation. Drive the use of AI to automate repetitive data workflows. Qualifications Bachelor's degree in a quantitative field. 5-7 years of data analytics experience. Strong SQL and Pyspark proficiency. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Lending/financial services experience is a plus. Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to manage multiple projects. Ability to work independently and in a team. Demonstrated drive to use and implement AI for automation. Preferred Qualifications Experience with statistical modeling and data mining. Familiarity with cloud data warehousing (e.g., Snowflake, BigQuery, Redshift). Experience with Python or R. Experience implementing AI solutions in a business setting Why Join us Bragging rights to be behind the largest fintech lending play in India A fun, energetic and a once-in-a-lifetime environment that enables you to achieve your best possible outcome in your career With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story!

: Job Title- Name and Transaction Screening Model Strats, AVP Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team and lead a team of 5 Associates to support a global model strategy and deployment of Name & Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work in a collaborative global team and focus on people development and career growth. The purpose of Name & Transaction Screening is to identify and investigate clients and customer transactions that come into scope per sanctions screening requirements, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. Reporting to the Name & Transaction Screening Lead within Trader and Client Control Strats, you will be responsible for implementing and maintaining the models for Name & Transaction Screening. You will help ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Assistant Vice President with 5+ years of experience in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name Screening (NLS) & Transaction Screening (TS). This role offers the opportunity to drive key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will drive model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well 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 Model Development & Tuning Manage a team of 5 Associates to support the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes. Support data exploration, feature engineering, and statistical analysis to inform tuning strategies. Document model logic, decisions, and outcomes in line with governance and validation standards. Project Engagement Contribute to specific model projects, from requirements gathering through to development, testing, and implementation. Coordinate small teams or working groups for agile delivery, working with developers, QA, and operations stakeholders. Performance Monitoring & Validation Support Monitor model performance metrics and investigate anomalies in production environments. Partner with model validation and internal audit to respond to queries and provide supporting analysis. Stakeholder Engagement Liaise with regional Compliance teams and operational users to gather feedback on model effectiveness. Contribute to presentations and technical reports for governance forums and senior stakeholders. Process Improvement Contribute to continuous improvement of the model development framework and documentation standards. Proactively identify opportunities for automation, efficiency, or application of advanced analytics. Your skills and experience Experience: 5+ years in model development, risk analytics, or quantitative compliance, preferably within financial crime or sanctions screening. Familiarity with financial crime systems (e.g., Actimize, Fircosoft, or equivalent platforms) and regulatory frameworks (e.g., AMLD, OFAC, FCA guidance). Technical Skills: Recent and relevant hands-on experience in SQL, Python for data analysis and model development. Strong Excel and data visualization skills; experience using Power BI or Tableau is a plus. Understanding of statistical techniques such as threshold optimization, precision/recall, ROC curves. Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex technical content to non-technical stakeholders. Highly organized, with strong attention to detail and documentation quality. How well 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.

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