200 Risk Analytics Jobs - Page 3

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. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job Summary 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.

About this role About this role BlackRock is one of the world s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Analyst) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 1-3 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills #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.

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

ob Title: Assistant Manager / Manager (Credit & Risk) Job Level: Mid-Level Report to: Chief Business Officer Department: Lending Organization: airpay money pvt ltd ( http://www.airpay.money) Location: Gurgaon Job Summary: The Assistant Manager / Manager (Credit & Risk) is responsible for developing and implementing credit risk assessment models, monitoring credit portfolios, ensuring compliance with credit policies, and optimizing lending strategies. This role involves data-driven risk management, policy refinement, and collaboration with key stakeholders to enhance Airpay s lending portfolio while maintaining regulatory compliance. Key Responsibilities: Credit Risk Assessment: Develop and implement credit risk assessment models and methodologies to evaluate the creditworthiness of potential borrowers. Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money. Monitor and review credit portfolios regularly to identify potential risks and make recommendations for risk mitigation strategies. Collaborate with other departments such as underwriting, collections, and compliance to ensure adherence to credit policies and regulatory requirements. Analytics and Data Management: Utilize advanced analytics and statistical techniques for credit risk assessment. Develop predictive models for default probabilities and loan performance. Ensure data accuracy by extracting, cleaning, and managing datasets from multiple sources. Implement data governance practices for consistency and integrity. Stay updated on credit risk analytics trends and incorporate best practices. Portfolio Management: Monitor and optimize the lending portfolio s performance. Conduct stress testing and scenario analysis to assess economic impact. Develop risk-return strategies while ensuring compliance with regulatory guidelines. Provide recommendations for portfolio diversification and capital allocation. Credit Policy Development: Assist in refining credit policies based on risk assessments and data insights. Evaluate and enhance credit policies to mitigate emerging risks. Ensure alignment between credit policies, business objectives, and risk strategies. Conduct periodic reviews and audits to maintain compliance. Reporting and Communication: Prepare and present reports on credit risk metrics and portfolio performance. Effectively communicate risk findings to stakeholders and decision-makers. Develop reports and dashboards for real-time insights into credit risk trends. Continuous Improvement: Identify opportunities to enhance efficiency through process automation. Participate in cross-functional projects to strengthen risk management frameworks. Foster a culture of continuous learning and development within the credit risk team. Required Qualifications: Inter CA/CA or Master s degree in Finance, Business, Economics, or a related field. 2+ years of experience in credit risk assessment, portfolio management, or financial analytics. Strong understanding of credit risk modeling, financial analysis, and data analytics. Knowledge of regulatory frameworks related to lending and risk management. Excellent communication and stakeholder management skills. Certification in risk management (FRM, CFA, or equivalent) is a plus.

Senior Analyst, AFR Gurgaon, Haryana, India Analysts work in teams with other actuaries, financial reporting analysts, and actuarial IT teams to deliver pricing, reserving, and actuarial risk analytics analysis results Actuarial Analyst has the opportunity to support or develop cutting-edge analyses, strategies, and solutions addressing the wide range of actuarial risks and/or issues facing XL DISCOVER your opportunity What will your essential responsibilities include? Risk Analytics including the development of analytical tools, analysis of insurance risk, regulatory capital modeling activities, and general support for any risk analytics in the company Pricing including development of pricing tools, and price monitoring Reserving for complex general insurance lines of business Assisting in responding to management queries and concerns; resolving issues promptly Assisting in setting up the technical provisions for the Solvency II balance sheet Also would be performing variability analysis in the Reserve Risk Team within the Solvency II framework You will report to Specialist, AFR SHARE your talent We re looking for someone who has these abilities and skills: Required Skills and Abilities: Undergraduate degree and at least 8 - 9 CT Series Exams Excellent analytical, research, and problem-solving skills Good working knowledge of actuarial reserving/pricing software Advanced mathematical / financial / statistical aptitude Outstanding computer application skills, specifically Excel, Access, and Visual Basic Application Ability to multi-task and work effectively in a fast-paced team environment Keen attention to detail Robust oral and written communication skills Desired Skills and Abilities: Ability to multi-task and work effectively in a fast-paced team environment Keen attention to detail Robust oral and written communication skills FIND your future AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks For mid-sized companies, multinationals, and even some inspirational individuals we don t just provide re/insurance, we reinvent it How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business property, casualty, professional, financial lines, and specialty With an innovative and flexible approach to risk solutions, we partner with those who move the world forward Learn more at axaxl com Inclusion & Diversity AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success That s why we have made a strategic commitment to attract, develop, advance, and retain the most diverse workforce possible, and create an inclusive culture where everyone can bring their full selves to work and can reach their highest potential It s about helping one another and our business to move forward and succeed Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability, and inclusion with 20 Chapters around the globe Robust support for Flexible Working Arrangements Enhanced family-friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl com / about-us / inclusion-and-diversity AXA XL is an Equal Opportunity Employer Sustainability At AXA XL, Sustainability is integral to our business strategy In an ever-changing world, AXA XL protects what matters most for our clients and communities We know that sustainability is at the root of a more resilient future Our 2023-26 Sustainability strategy, called Roots of resilience , focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations Our Pillars: Valuing nature: How we impact nature affects how nature impacts us Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future We re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans Addressing climate change: The effects of a changing climate are far-reaching and significant Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption Were building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions Integrating ESG: All companies have a role to play in building a more resilient future Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business We re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL s Hearts in Action programs These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving For more information, please see axaxl com/sustainability

About this role Aladdin is BlackRock s end-to-end investment platform. Just like the markets and users it services, it is sophisticated and constantly evolving: Home to over $20 trillion in assets under management Over 300 unique clients A rapidly growing client base that includes close to 50,000 users Presence in over 50 countries Over 1,500 engineers dedicated to developing Aladdin Our clients include some of the world s most sophisticated asset managers, insurance companies, banks, treasuries, pension funds, and sovereign wealth funds. Required Experience: 7+ years of experience in financial services, with a focus in one of the following product areas: Portfolio Management Tools and Portfolio Analytics Performance Attribution Single Security Analytics Portfolio Modeling, Analysis, and Reporting Credit and Market Data Cloud-Based Data Warehouse Vendor Reference Data Purpose and Scope: The Product Expert team is seeking to hire a technical, experienced support expert to accelerate the user experience and support model of a fast-growing business. The person will be a member of the Product Expert team within Aladdin Client Experience, focusing on one of the product areas listed above, and partnering closely with the broader business to solve complex technical inquiries and partner with other product teams to help shape product development. Additionally, the Product Experts will work closely with our Aladdin development teams to drive and improve platform supportability and stability by partnering on strategic tooling initiatives. Product Experts core mission is to: Build deep product and workflow expertise, handle the most complex client asks and elevate the knowledge of the support organization Partner with developers and the broader business to build more user- and support-friendly applications and workflows, and Engage with leading investment and risk professionals from our client base on sophisticated projects. The team is highly visible and well connected across the Aladdin Business and partners with product management/development functions to solve complex technical inquiries and help shape product development. Key Responsibilities: Engage with Aladdin users on product-specific workflows, product, process, and service Drive support initiatives by engaging regularly with development teams Own complex Aladdin user inquiry demonstrating technical knowledge of our analytics models and technical infrastructure Act as key liaison between the Aladdin Client Experience, Aladdin Client Engagement, Implementations, Product Marketing, Engineering, and the wider BlackRock business Work with key stakeholders across the Aladdin business to deliver against product specific, high impact projects Analyze client inquiry trends using data and user feedback and implement solutions to improve Identify function gaps and areas of strategic improvement from a product platform and financial modelling perspective Formulate and implement strategic objectives to improve Aladdin user experience through process and technology enhancements Work closely with other business units to prepare Client Success Specialists for product changes and releases Develop skills to become technically proficient in all workflows and analytics models within a front office product focus area: Single Security Analytics, Portfolio Risk Analytics or Performance Attribution Develop internal talent by providing learning/training opportunities, career development and 1:1 mentoring Partner with Engineering & SRE on Proactive Monitoring & Telemetry as Product SME to avoid and resolve critical incidents quickly and avoid disruption of service Act as Product SMEs and Solution Architects by partnering with key users and high priority clients and consult their client teams to address complex compliance challenges and gain deeper workflow & product knowledge Desired Qualifications In-depth technical understanding of data technologies, databases, data warehousing, and data analytics tools 7+ years in a client facing or product role with exposure to single security valuation models, portfolio risk (VaR, stress testing, optimization) or performance attribution Security valuation models cover rates, credit, mortgages, derivatives Portfolio Risk - multi-asset (public & private assets) - volatility, tail risk, stress testing Performance attribution - equity, fixed income, multi-asset Ability to work in a fast-paced environment, strong presentation skills, positive demeanor and stakeholder management across corporate levels and business verticals, global teams Outstanding communication and interpersonal skills Technically proficient, experience in diagnosing root cause and ability to problem solve Experience of automation tools and support tooling experience CFA, FRM, CAIA or other professional qualifications a plus Experience with Python, Java, REACT, Linux/Unix or any other relevant coding languages nice to have 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.

About this role: Wells Fargo is seeking a Senior Risk Analytics Consultant In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Prior work experience; knowledge of capital markets products, preferably FX and Rates derivatives Applied knowledge and understanding of derivatives valuation (preferably as used in Rates Derivatives) and building of interest rate curves Experience in trading, valuing or price validating capital market instruments Excellent verbal and written communication skills Advanced Microsoft Office skills, SQL Ability to organize and manage multiple priorities with challenging timelines Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals Job Expectations: Ensuring accurate valuations and performing independent price verification processes for derivatives, with focus on FX and Rates derivatives Review Bid Offer and Model Valuation Adjustment for derivative portfolio Deep dive IPV results and assist trader with high quality commentary month on month basis Meet deliverables while leveraging solid understanding of Fair Valuation policies, procedures, and compliance requirements Interact with technology teams to streamline IPV processes Interact with quants, traders, market risk and product control to lead various IPV projects Resolve moderately complex issues independently Lead projects, teams, or serve as a mentor for less experienced staff Market Skills

In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: CA/CFA/FRM degree or higher in Finance, Accounting, Economics or Business. Experience in one or a combination of the following: analytics, reporting, finance, or accounting. Experience with Product Control function at a large bank. Solid understanding of asset backed Trading products (Bonds ABS, CMBS, RMBS, and derivativesinterest rate swaps and credit derivatives) business and products, corresponding risk measures for the purposes of analyzing changes to P&L and providing explanation to the senior management and the regulators. Job Expectations: Timely and accurate daily P&L reporting and general ledger reconciliations, primarily for the firms trading activities. P&L production will include both Comprehensive P&L and clean (risk-based) P&L Research and identify P&L issues arising from incorrect trade bookings, system errors, and valuation discrepancies; Month-end close for P&L, and substantiation of balance sheet at a detailed level; Must have strong attention to detail and ability to identify and escalate issues as needed; This role will require close and efficient communication with various groups, including Front Office, Middle Office, Market and Credit Risk, and Group Controllers; Utilize the firms P&L attribution to validate the reported P&L Track daily asset usage by Legal Entity and LoB; Produce and analyze Volcker metrics, where appropriate, to ensure accurate reporting and compliance with this rule; Prepare weekly/monthly management reports/financial highlights; Provide high quality commentary on P&L and balance sheet drivers; Analyze monthly expense trends and prepare analytics; Develop a solid understanding of the legal entities on which trading activities are conducted, and ensure the P&L is reported accurately on each entity; Prepare material to support internal/external audit examinations/queries; Ensure compliance with internal guidelines (e.g. COSO controls), and internal and external audit recommendations; Develop and improve upon internal controls through critical evaluation of current environment, with the goal of implementing consistent, industry best practices across the enterprise; Maintain accurate policies and procedures that are up to date and can be easily followed by internal and external audit groups. Experience working in global teams. Proficient working with complex data, especially associated with trading activities. Advanced skills in MS Office products especially MS Excel and MS Access and tools like SQL, Tableau, Alteryx, Power BI Essbase (database with GL and org hierarchy info) Experience supporting structured products trading businesses. Experience researching and resolving P&L issues arising from incorrect trade bookings, system errors, and valuation discrepancies using both Finance and Front Office systems. Strong interpersonal skills to effectively build and maintain partnership with key stakeholders and partners. Outstanding problem solving skills. Ability to be agile, flexible and adjust plans quickly to meet changing business needs Ability to perform well under pressure.

About this role: Wells Fargo is seeking a Lead Commercial Banking Portfolio Coordinator. In this role, you will: Support performance and overall effectiveness of team, as well as cross-group administrative operations Provide feedback and present ideas for improving or implementing processes and tools within Commercial Banking Portfolio Management Review credit information of loans for companies and industries Respond to customer inquiries, generate status reports for management or bankers and contact available sources of information Perform or guide others on complex tasks or initiatives that require planning, evaluation, and interpretation Independently prioritize work and provide day-to-day-work leadership and mentorship to team Lead or contribute to implementation of new or revised processes and procedures Provide guidance and subject matter expertise to immediate team and Commercial Banking Portfolio Management on wide range of information Required Qualifications: 6+ years of Commercial Banking Portfolio Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Chartered Accountant and Bachelor's Degree (Commerce Mandatory), equivalent Strong knowledge on accounting and finance, Industry analysis, Internal and external risk factors of the borrower Should have an experience in assessing credit worthiness of the borrowers based on qualitative and quantitative factors Strong knowledge of preparation and analysis of projected and Proforma based financial statements Sound knowledge of ratio analysis, cash flow, and trend analysis Should have experience of Financial spreading across all the Industries Sound knowledge on Moody's Risk Analytics (MRA) (added advantage) Strong knowledge on GAAP Accounting / International Financial Reporting Standards Ability to read & analyze financial statements. Excellent knowledge of MS office application primarily MS Word, MS Excel and Powerpoint Strong analytical skills. Excellent communication skills Should be flexible to stretch as per business requirement Stakeholders/Client management Able to multi-task to accomplish tasks effectively. Strong analytic skill, Quick Learner & Attention to detail Ability to work quickly & accurately while maintaining acceptable standards of workmanship Ability to recognize and escalate to management for any process breaches Highly motivated with strong organizational Flexibility to work in different shifts Ability to succeed in a team environment Job Expectations: Includes end to end responsibility of request received from clients includes financial spreading in MRA tool, analyzing financial statements, identification of trend and provide financial commentaries on cause and effect on identified trend as per business requirement Prepare projected financial statements as per relationship managers requirement Complete Pro forma adjustments based on the projected financial information as per requirement Should be able to interpret and spread financials of different companies belong to different division as per business requirement at any given day Assessing the repayment capacity of the highly leveraged Borrowers. Should handle subjectivity in the financial analysis/spreading and substantiate with reasons Should be flexible in switching roles in between Processors/DSO/QC at any point of time during the day/months as per business requirement Should be flexible in taking additional responsibilities and ensure smooth execution without compromising on quality and timelines Act as a coach or mentor to facilitate learning from experience depending on requirement Facilitates communication to resolve problems and advance strategies. Make a significant contribution toward achieving team goals through knowledge and skills. Lead or champion efforts to increase productivity and goal accomplishment.

Develop deep knowledge Structured Products (RMBS, CMBS, CLO) & Vichara's platform scope out improvements, mitigate risk, troubleshooting. Create/Monitor Daily Monitoring Dashboards on Power BI and in SQL. Required Candidate profile 3+ years of work exp in investment systems and fixed income asset class & analytics and experience working with loan systems (e.g. WSO, Virtus, iLevel) and or Broadridge Sentry OMS & Geneva

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

About The Role : Responsibilities We are looking for a candidate with FactSet experience who will assist in the implementation and later the smooth running of the FactSet process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role. Experience with FactSets Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios. Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up. Connect with FactSet portfolio services on missing and erroneous security analytics daily. Ensure the smooth running of the FactSet upload, calculation and extraction process runs to time daily. Use FactSet security modelling application to upload the terms of a security not covered by FactSet. Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, FactSet upload engine. Monitor dashboards comparing the data accuracy of holding positions across all asset types from the FactSet output and another internal Wipro source to ensure reliability of data. Ability to document and communicate complex technical knowledge effectively. Demonstrated ability to work under minimal direction. Ability to work collaboratively across divisions. Applications in FactSet that would be beneficial to understand: Security Modelling Cornerstone Portfolio reporting batcher Fixed Income Analytics Batch Data Central This role would involve close relations with the risk management, data governance and technology solutions teams. Lead Analyst Responsibilities We are looking for a candidate with FactSet experience who will assist in the implementation and later the smooth running of the FactSet process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role. Experience with FactSets Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios. Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up. Connect with FactSet portfolio services on missing and erroneous security analytics daily. Ensure the smooth running of the FactSet upload, calculation and extraction process runs to time daily. Use FactSet security modelling application to upload the terms of a security not covered by FactSet. Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, FactSet upload engine. Monitor dashboards comparing the data accuracy of holding positions across all asset types from the FactSet output and another internal Wipro source to ensure reliability of data. Ability to document and communicate complex technical knowledge effectively. Demonstrated ability to work under minimal direction. Ability to work collaboratively across divisions. Applications in FactSet that would be beneficial to understand: Security Modelling Cornerstone Portfolio reporting batcher Fixed Income Analytics Batch Data Central This role would involve close relations with the risk management, data governance and technology solutions teams. Responsibilities We are looking for a candidate with FactSet experience who will assist in the implementation and later the smooth running of the FactSet process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role. Experience with FactSets Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios. Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up. Connect with FactSet portfolio services on missing and erroneous security analytics daily. Ensure the smooth running of the FactSet upload, calculation and extraction process runs to time daily. Use FactSet security modelling application to upload the terms of a security not covered by FactSet. Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, FactSet upload engine. Monitor dashboards comparing the data accuracy of holding positions across all asset types from the FactSet output and another internal Wipro source to ensure reliability of data. Ability to document and communicate complex technical knowledge effectively. Demonstrated ability to work under minimal direction. Ability to work collaboratively across divisions. Applications in FactSet that would be beneficial to understand: Security Modelling Cornerstone Portfolio reporting batcher Fixed Income Analytics Batch Data Central This role would involve close relations with the risk management, data governance and technology solutions teams. Build capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Partner with team leaders to brainstorm and identify training themes and learning issues to better serve the client Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed

We are seeking a motivated and analytical AI Intern (Developer) to join our team for a 6-month internship. This is a unique opportunity to gain hands-on experience working on real-world AI solutions in fintech and insurance two of the most data-rich and fast-evolving sectors. The ideal candidate should have strong expertise in Postgres database/Oracle, Express.js, React.js, and Node.js , with a focus on both front-end and back-end development. Responsibilities: Assist in developing machine learning models for use cases. Perform data cleaning, analysis, and feature engineering. Work with structured and unstructured financial/insurance, etc. data Collaborate with data engineers and domain experts to deploy AI models. Research industry trends in AI for fintech and insurance tech Document experiments, model results, and insights Conduct unit and integration testing to maintain code quality. Collaborate with cross-functional teams to deliver seamless user experiences. Troubleshoot and resolve technical issues. Manage and guide the development team effectively. Requirements: Strong Python programming skills Familiarity with ML libraries: scikit-learn, XGBoost, TensorFlow/PyTorch Understanding of supervised and unsupervised learning techniques Good with data wrangling using Pandas, NumPy, SQL Experience with NLP or OCR tools Strong analytical and problem-solving skills Strong proficiency in MERN Stack (MongoDB, Express.js, React.js, Node.js) . Experience in REST API development and integration . Ability to manage time efficiently and meet deadlines. Team player with excellent communication skills . Delivery-focused mindset with the ability to work under minimal supervision. Company: ATS Services is a leading service provider in the Indian BFSI Industry. We inculcate a work environment that promotes diversity, embraces change and provides leadership opportunities. We provide consulting, services and IT solutions to our customers in the areas of credit & risk, risk analytics, development of scorecards and segmentation models, collections for retail and B2B Customers, Insurance retention and a variety of IT solutions in the areas of credit MIS, business intelligence and business process consulting and automation. Qualification: Tech Computer/IT Applications Experience Fresher Proficiency in Languages: English and Hindi Duration 6 months Benefits: Stipend +PF+ Insurance. 5 Days working Day Shift Location Faridabad work from office If you are interested in above position, you can apply and appear for the interview, or you may get in touch with us as undersigned, Our Location 7th Floor, Tower B, Vatika Mindscapes, Sector 27-D, Faridabad, Haryana - 121003 +91-129-6612001 contactus@servicesats.com Drop Us A Line Your name Your email Subject Your message (optional)