849 Risk Analytics Jobs - Page 14

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This website uses cookies to ensure you get the best experience. 4most and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can p...

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected...

Well look to you for: Supporting CMMS Interface technical and business needs in coordination with various internal and external stakeholders Collaborating with platform CMMS teams, Project CMMS teams, and others for design, development, and training of Interfaces Coordinating support for interfaces developed with platform CMMS teams, warranty or service teams, and subsystem teams Proposing and managing innovative solutions around CMMS Interface topics through the R&D process Ensuring adherence to best practices and contributing to the knowledge base Engaging in continuous learning and applying insights to improve CMMS integration All about you We value passion and attitude over experience. T...

As a Data Quality Engineering Lead (Global Markets) in the Markets Division of a leading global bank, you will be responsible for ensuring the accuracy, consistency, and reliability of data across various systems used in trading, risk management, regulatory reporting, and financial analytics on a global scale. Your expertise in capital markets, trading systems, risk analytics, and regulatory compliance will be crucial in establishing enterprise-wide data quality frameworks that enhance trading operations, support risk mitigation, and ensure compliance with regional and global financial regulations. Working with cross-functional teams across multiple geographies, including APAC, EMEA, and NAM...

As the Lead Risk at the company, you will be responsible for various key tasks related to risk management. Your primary duties will include preparing the credit and risk policy framework, ensuring compliance with statutory norms, conducting risk analytics, and managing regulatory and audit compliance. You will also be expected to present monthly risk updates to the Risk Oversight Committee. Your role will involve designing policies, procedures, and processes to mitigate risks associated with the company's operations and product offerings. You will need to monitor the portfolio across various products at both macro and micro levels, reporting to top management and identifying exceptions. Esta...

Deliver/ Manage KPIs and metrics in line with the prescribed targets Prioritize and organize work according to business priorities. Develop an in depth understanding of the technical aspects of the process. Driving process improvements within team for improved efficiency, client experience or better risk controls Periodic review of process risks and ensuring adequate controls are in place. Meeting with stakeholders to discuss process related challenges and opportunities Work with relevant stakeholders for effectively resolving escalations. Leading projects / tasks E2E in coordination with onshore stakeholders Resource Planning: Forecasting and planning of resource requirements Manage resourc...

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected...

Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Your way to impact You will own & execute fraud prevention strategies for our global merchant lending products You will utilize large, complex datasets to make data-driven decisions and answer business questions In ...

Review and analyze Functional specifications and requirements. Develop detailed, comprehensive, and well-structured test plans and test cases. Execute manual test cases and report results. Identify, record, and document thoroughly any bugs or issues. Perform regression/Smoke/Sanity testing when bugs are resolved. Collaborate with cross-functional teams to ensure quality throughout the software development lifecycle. Provide feedback on usability and suggest improvements. Maintain documentation of test results and procedures. Requirements: Proven experience as a QA tester or similar role. Familiarity with Agile frameworks and regression testing. Ability to document and troubleshoot errors. Wo...

Analyzing data sets and designing and coding stable and scalable data pipelined also integrating into existing data pipelines. Ensure timely delivery of systems that meet functional requirements by performing comprehensive unit testing. Implement processes and tools to ensure data quality and reliability. Review, refactor, and debug code to identify and resolve defects, improve performance, and address technical debt. Provide technical support and troubleshooting assistance for developed systems, ensuring smooth operation and issue resolution. Collaborate with clients and stakeholders to understand business requirements and align technical solutions to meet their needs. Qualifications Gradua...

About The Role Strong understanding of Market Risk Concepts with in-depth knowledge of Risk Sensitivities/Greeks . Experience working in Investment, Corporate Banking especially in the Risk Management domain with strong understanding of products as Derivatives, Fixed Income, Equities, FX, etc. Hands on experience in writing SQL queries for data extraction and analysis, proficiency in Excel as a tool for data analysis Proven capability to liaise with Risk Managers, gather and document requirements and work closely with Developments teams to implement the same Strong problem solving and analytical skills with excellent Communication and Stakeholder Management skills Good to have skills FRTB kn...

Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to...

As a Risk Management Policy Lead, you will play a crucial role in designing, implementing, and overseeing risk management policies for the organization. Your responsibilities will include leading the formulation, review, and periodic updates of policies and risk guidelines to ensure alignment with regulatory requirements, market trends, and internal risk appetite. You will collaborate closely with audit and compliance teams to ensure adherence to regulatory guidelines and standardize risk assessment procedures across products and business lines. Additionally, you will analyze portfolio risk trends, coordinate with analytics for management dashboards, and support the implementation of risk as...

A successful Data Scientist in Fraud & Credit Risk - Decision Science at Fiserv plays a pivotal role in the Global Business Solutions (Merchant business) team. The main responsibilities include developing and deploying predictive ML models to automate risk controls, reduce fraud and credit risk losses, and drive top-line growth. The efforts of the Data Scientist generate insightful analytics, build models/rules, and create data-driven solutions to manage risk and identify new opportunities. This position interfaces with internal and external stakeholders to deliver best-in-class analytical solutions and supports functions such as New Merchant On-boarding & Underwriting, Existing Merchant Ris...

Updraft. Helping you make changes that pay off. Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day to day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans. A 360 degree spending view across all your financial accounts (using Open banking) A free credit report with tips and guidance to help improve your credit score Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores Intelligent lending products to help reduce cost of credit We have bu...

As an Industry & Functional AI Decision Science Manager at Accenture, located in Bengaluru, BDC7C, you will be required to have expertise in Risk Analytics. Additionally, experience in financial modeling, valuation techniques, and deal structuring would be beneficial. In this role, you will drive strategic initiatives, manage business transformations, and utilize industry expertise to develop data-driven recommendations aimed at enhancing business performance. Working with the Accenture CFO & EV team under the Data & AI unit, you will have the opportunity to engage with top financial clients globally. You will have access to cutting-edge technologies and resources, collaborating with talente...

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Director Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, c...

We are looking for a Lead Fraud Risk Analytics to design and implement AI-driven fraud detection systems for UPI, cards, and digital payments. This role requires deep expertise in real-time fraud detection, anomaly detection, behavioral analytics, and AI/ML-based risk modeling. This role will also help build the business intelligence for the UPI vertical. What You ll Do Fraud Detection & Prevention Build and enhance real-time fraud detection models for UPI transactions, QR payments, and card transactions. Develop AI-driven behavioral risk models to detect abnormal payment activity, device spoofing, and synthetic identity fraud. Design rule-based + ML-driven fraud detection systems to reduce ...

What You ll Do Fraud Detection & Prevention Assist in analyzing UPI and QR transaction data to detect suspicious patterns. Contribute to rule-based and ML-assisted models to identify abnormal payment behavior. Support device fingerprinting, location-based risk analysis, and velocity checks. Work with the engineering team to help integrate basic fraud detection rules into payment systems. Risk Analytics & Model Development Work alongside senior analysts to build and test supervised/unsupervised ML models. Explore trends and anomalies in transaction data such as high-frequency usage or mismatches in device/location. Help in monitoring model performance and fine-tuning risk thresholds. Regulato...

What Will Your Day Look Like Risk Strategy & Leadership Lead a dynamic team in delivering high-impact risk solutions across credit risk domains including underwriting, exposure controls, and line management Collaborate with cross-functional stakeholders across product, data science, and engineering to drive implementation of risk strategies Build and maintain strong relationships with internal and partner teams for smooth execution of risk initiatives Data-Driven Decisioning Analyze credit loss trends, simulate risk strategies, and recommend improvements to optimize revenue and approval rates Recommend and support deployment of credit risk decisioning and scoring models in collaboration with...

The Associate Director in the Corporate ERC Data Analytics and Insights team will partner with ERC process owners and colleagues across countries to enhance operational oversight and strategic decision-making through data and insights. You will play a crucial role in formulating an integrated analytical approach by engaging in data discovery, building data pipelines, connecting databases, and uncovering actionable insights through descriptive and advanced analytics methods, including statistical analysis, AI, machine learning models, and GenAI solutions. In this role, you will collaborate closely with process owners and ERC analytical product users to comprehend their complex compliance prio...

As an Analyst Fraud Risk at Visa, you will be part of the VCA Risk Advisory Practice team responsible for delivering Risk advisory services to Visas clients across Credit Risk and Fraud Risk. Reporting to the Senior Manager Fraud Risk, India Hub, you will contribute to the delivery of Fraud Risk advisory engagements. Your expertise in Fraud Risk functional domain and risk analytics gained as a Risk practitioner and/or data scientist will be utilized to unlock business value. Your key responsibilities will include contributing to Fraud Risk Managed Services and advisory engagements across Asia Pacific, collaborating with clients to understand business problems and outcomes, delivering multipl...

Sales Operations Monitor pipeline health, reporting, and performance tracking across APAC. Manage licenses and cost-associated tools, ensuring optimal utilization. Support D365 data management and cleansing for accurate performance reporting. Project & Campaign Support Partner with Sales Engagement Leads to drive account planning and campaign success tracking in Dynamics 365. Leverage LinkedIn Sales Navigator to build marketable databases and qualify leads. Manage and distribute leads to ensure timely follow-up and conversion tracking. Contribute to special projects such as APAC newsletters, SOP creation, and investment or market landscape research. Collaboration & Reporting Support stakehol...

Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide in...