604 Risk Analytics Jobs - Page 10

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 Requirements: 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

This is an Internal document. Role- Credit Risk and Policy Manager Job Purpose: To design, implement, and manage credit risk policies and strategies that ensure healthy portfolio performance, mitigate default risk, and support business growth. This role involves credit underwriting frameworks, portfolio analytics, risk appetite definition, and policy governance. Key Responsibilities: Credit Policy & Frameworks: Develop and regularly update credit risk policies, product programs, and underwriting guidelines for various customer segments (retail, SME, corporate, etc.). Define risk acceptance criteria based on internal data and market intelligence. Collaborate with business, operations, legal, and compliance teams to implement and operationalize credit policies. Risk Assessment & Monitoring: Analyze credit risk across new and existing products and segments. Establish early warning signals (EWS) and monitoring frameworks to track portfolio health. Design scorecards, segmentations, and risk models in collaboration with analytics and data science teams. Portfolio Management: Track key credit metrics such as delinquency, NPAs, write-offs, LGDs, and PDs. Recommend changes in credit strategies or policy thresholds based on portfolio trends. Benchmark internal performance with industry standards. Regulatory & Compliance: Ensure policies align with regulatory guidelines (RBI, Basel norms, etc.). Prepare risk-related reports and documentation for audits and regulatory reviews. Stakeholder Management: Work closely with credit, collections, risk analytics, legal, and technology teams. This is an Internal document. Provide training and guidance on credit policies to credit and sales teams. Qualifications & Experience: Bachelors degree in Finance, Economics, Statistics, or related field (MBA/CA/CFA preferred). 410 years of experience in credit risk, policy formulation, or credit underwriting (depending on seniority). Strong understanding of lending products (personal loans, SME, mortgages, BNPL, etc.). Experience with data analysis, credit scoring, and risk modeling is a plus. Skills & Competencies: Analytical thinking with sound risk judgment. Strong knowledge of credit lifecycle and portfolio management. Proficient in Excel, SQL, and/or data visualization tools (Power BI/Tableau). Excellent communication and stakeholder management skills.

This is a Public document. for a Credit Card Transaction Monitoring Manager Reports toCREDIT CARD POLICY HEAD LocationMUMBAI Job Summary: We are seeking an experienced Credit Card Transaction Monitoring individual (M5-AVP) to join our Credit Risk Management team. The successful candidate will be responsible for monitoring credit card transactions data, identifying potential fraud or high risk transactions with higher bad rates, and implementing rules to prevent such transactions and reduce future financial losses coming from them. This role requires a blend of analytical skills, attention to detail, and knowledge of fraud detection technologies and methodologies. The ideal candidate will have experience in data analysis, risk analytics, and fraud prevention. They should be proficient in SAS, SQL, and Python for data querying and analysis, and have a strong understanding of fraud risk management in the financial services industry Key Responsibilities: Monitoring TransactionsResponsible for overseeing credit card transactions to detect and prevent fraudulent activities, high risk transactions on various MCCs such as rental, wallets, fuels etc. this includes analysing transaction patterns and identifying any suspicious behaviour. Rule CreationPart of the job would involve creating and implementing rules within the FALCON system to help identify and stop such transactions. Test and refine rules to ensure accuracy and effectiveness. This requires a deep understanding of fraud trends and the ability to translate this knowledge into effective fraud prevention strategies. Identifying customers who are making non retail transactions and using credit card funds for other than specified retail purposes and building rules to stop or reduce transactions on them by blocking those MIDs, initiating blocking of credit card accounts and credit limit reduction. Using FICO Falcon Fraud ManagerYou would likely be using FICOs Falcon Fraud Manager, which is a leading solution for real-time transaction protection across various channels. CollaborationThe role may require collaboration with business and financial users to define, test, and deploy these rules based on the organizations requirements and strategies Creating and maintaining reports for tracking fraud trends and the performance of fraud prevention strategies. Querying operational databases and data warehouses using SQL and other tools to extract data for analysis. Staying up-to-date on current fraud best practices and emerging threats. This is a Public document. Requirements: 5+ years of experience in credit card transaction monitoring or related field 2+ years of experience in a mid-leadership role. Strong knowledge of Falcon or similar fraud detection systems Excellent analytical and problem-solving skills Effective communication and leadership skills Ability to work in a fast-paced environment Experience with machine learning or data science Certification in fraud prevention or related field will be an added advantage

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 Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams "¢ Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. "¢ Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. "¢ Ensure reliability, integrity and consistency of reported and underlying data "¢ Build and manage a team of like-minded data analysts and modellers "¢ Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage. "¢ Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable "¢ Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. "¢ Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. "¢ Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage

Responsibilities: 1. Closure of alerts with respect to AML 2. Recommending STRs on cases fit for STR filing 3. To do various transaction monitoring activities 4. Preparation and Updation of data for FIU reporting 5. Suggesting AML process improvement plans to eliminate gaps 6. Ensuring that the Bank complies with RBI regulations and provides necessary support to the Compliance function. Prime: Final Decision Making authority, accountable to the Management 1) Closure of AML alerts 2) Conduct trainings on RBI Compliances 3) Process Improvement Plans 4) Reporting and presentations on non- compliances Shared: Decisions reached jointly with peers on a collective basis 1) Documentation on AML procedures 2) Coordinate with internal auditor Contributory: Makes a major contribution to a decision or policy judgment reached by others Guidance to staff and various team members on AML related issues. Interested candidates can share their resume on harsh@beanhr.com/9045052072

Urgent Hiring for MNC for Model Validation role, which includes- Wholesale Fraud analytics model, Machine learning, model validation Experience in Wholesale IRB model development/validation Kindly send your updated CV at jatin@smrd.in

About Us : DIGITAP.AI is a cutting-edge provider of AI/ML solutions tailored for the modern, internet-driven business landscape. Our advanced technologies empower businesses with reliable, fast, and fully compliant customer onboarding, automated risk management, and big data-enabled services, including Risk Analytics and Customised Scorecards. Our proprietary machine learning algorithms and modules boast some of the highest success rates in the market. Partnering with the largest digital lenders in India, our team is a vibrant mix of expertise in Fintech Product & Risk Management, Fraud Detection, and Big Data Analytics. Key Responsibilities: Design, build, and maintain scalable infrastructure for cloud (AWS, Azure, or GCP) and/or on-prem environments. Implement and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI. Set up monitoring, alerting, and observability systems (Prometheus, Grafana, ELK/EFK, CloudWatch, etc.). Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, Ansible, or Pulumi. Ensure security, compliance, and backup policies are enforced across infrastructure. Collaborate closely with development, DevOps, and security teams to support deployment and operational readiness. Troubleshoot infrastructure issues, perform root cause analysis, and implement preventive solutions. Optimize cost, performance, and reliability of systems and cloud usage. Participate in on-call rotation and disaster recovery planning. Required Skills: 1-4 years of experience in managing cloud and/or hybrid infrastructures. Strong hands-on experience with AWS, GCP or Azure. Highly proficient in scripting languages like Bash, Python, or Go. Solid understanding of networking, DNS, load balancing, firewalls, and VPNs. Experience with Docker and Kubernetes (EKS, AKS, or GKE preferred). Familiarity with Linux system administration. Knowledge of version control (Git) and working in agile environments. Additional Qualifications: Experience with cloud cost optimization tools and strategies. Certification in AWS/Azure/GCP (e.g., AWS SysOps, Solutions Architect). Exposure to logging frameworks and security compliance standards (ISO 27001, SOC2, etc.). Previous experience in a fast-paced startup or product company. What We Offer: Innovative Start-up Environment: Enjoy the flexibility to design, implement, and influence the development of cutting-edge solutions. Transparency and Meritocracy: We value clear communication, eschew politics, and promote an open culture where contributions are recognized and rewarded. Ownership and Impact: We encourage team members to take ownership, think beyond their roles, and contribute to the companys success in meaningful ways. Competitive Compensation : We offer a competitive salary and a potential equity package, aligning your success with the companys growth.

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This role will support and report to Technology Compliance SOC Team Lead and work closely with Lines of Business responsible for client needs relating to compliance reporting requirements. Accountable for supporting delivery of all SOC, ISAE and AAF audits leveraging technology scoped controls. Support key technology compliance impacting projects to ensure change to controls is designed and operated effectively during and post project implementation. Attend and contribute to key governance forums Produce timely metrics to support governance reporting requirements. Engagement with Auditors for for client needs relating to compliance reporting requirements. Accountable for supporting delivery of all SOC, ISAE and AAF audits leveraging technology scoped controls. Support key technology compliance impacting projects to ensure change to controls is designed and operated effectively during and post project implementation. Attend and contribute to key governance forums Produce timely metrics to support governance reporting requirements. Engagement with Auditors for the purpose of planning and co-ordination and execution of audits including evidence requests and walkthroughs Engagement with third party vendors who operate controls within the WTW environment leveraged for in scope audits. Skills: Experience in working with a dynamic multi location team. Ability to multitask and manage communications with multiple stakeholders concurrently. Understand, maintain, and manage complex and ever-changing IT control environments covering access, change, IT operations, cybersecurity and governance. Qualifications: Educated to degree level or equivalent Experience of working within a Global Financial organisation Minimum 2 years experience with IT and technology controls/audit related engagements Behaviors: Resourcefulness and organizational agility Problem Solving Delivery focused Strong communications and stakeholder management Qualifications to be accomplished by recruiter

Quant Developer Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a seasoned professional to join their Quant team in Pune. Please contact Apoorva Sharma or email your cv directly in word format with Job ID: 15171 to Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 7 business days, we regret to inform you that your application for this position was unsuccessful . Key responsibilities Work with desk strats and quantitative analytics team to develop, maintain and support C++/Python analytics libraries used for pricing and risk analytics. Pricing Model development and OPM review for Rates, FX and Equity models. Work closely with the platform engineering team on integration of analytics libraries into firm s risk systems. Investigate market data, pricing, and risk analytics issues. Work on implementation of AI based quantitative workflow solutions. Team lead for Quant Developer to drive quantitative business solutions. Role requirements 12 13 years of experience with bachelor s/Master s degree in relevant technical discipline: Computer Science, Mathematics, Financial engineering. Finance related qualification like CFA, FRM, CQF. Excellent programming knowledge in Python/C++ with financial maths and quant development work. Excellent knowledge of FX and Fixed Income products pricing, yield curve construction, scenario analysis, sensitivities calculations, PFE, VaR, CCAR stress scenarios. Good knowledge of development of pricing and risk analytics systems and tools. Good communication skills and ability to work with trading desk and platform engineering teams. Front office experience involving FX and Rates, excellent analytical and problem-solving skills.

Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a seasoned professional to join their Quant team in Pune. Please contact Apoorva Sharma or email your cv directly in word format with Job ID: 15171 to . Apply for this Job Key responsibilities Work with desk strats and quantitative analytics team to develop, maintain and support C++/Python analytics libraries used for pricing and risk analytics. Pricing Model development and OPM review for Rates, FX and Equity models. Work closely with the platform engineering team on integration of analytics libraries into firm s risk systems. Investigate market data, pricing, and risk analytics issues. Work on implementation of AI based quantitative workflow solutions. Team lead for Quant Developer to drive quantitative business solutions. Role requirements Bachelor s/Master s degree in relevant technical discipline: Computer Science, Mathematics, Financial engineering. Finance related qualifications like CFA, FRM, CQF. Excellent programming knowledge in Python/C++ with financial maths and quant development work. Excellent knowledge of FX and Fixed Income products pricing, yield curve construction, scenario analysis, sensitivities calculations, PFE, VaR, CCAR stress scenarios. Good knowledge of development of pricing and risk analytics systems and tools. Good communication skills and ability to work with trading desk and platform engineering teams. Front office experience involving FX and Rates, excellent analytical and problem-solving skills.

Birlasoft is a dynamic organization that brings together domain expertise, enterprise solutions, and digital technologies to transform business processes. Our consultative and design thinking approach drives societal progress by empowering our customers to operate their businesses with unparalleled efficiency and innovation. As a part of the CK Birla Group, a multibillion-dollar enterprise, we are backed by a professional team of over 12,500 individuals dedicated to upholding the Group's 162-year legacy. Our core values center around Diversity, Equity, and Inclusion (DEI) initiatives, as well as Corporate Sustainable Responsibility (CSR) activities, showcasing our commitment to fostering inclusive and sustainable communities. We invite you to join us in shaping a future where technology seamlessly aligns with purpose. As a Manager at Birlasoft, you will be responsible for overseeing the Enterprise Risk Management (ERM) framework and ensuring its effective implementation across the organization. Your key roles and responsibilities will include: - Collaborating with the Board of Directors, Risk Management Committee, and Audit Committee to ensure proper risk governance - Working with the Executive Risk Council and Chief Risk Officer to develop and maintain the risk management infrastructure - Coordinating with Functional Heads, Business Unit Heads, and Risk Owners to identify, assess, and manage risks effectively - Implementing and continuously improving the ERM process and framework to align with the company's strategic and operational objectives - Enhancing ERM acceptance through mandatory e-training, workshops for leaders, and organizational communications - Increasing ERM tool adoption by enhancing the tool and integrating ERM into the organization's culture - Supporting other Governance, Risk, and Compliance (GRC) activities as assigned Key Skills Required: - In-depth knowledge of risk management principles, frameworks, and methodologies - Strong leadership skills to guide the ERM team and collaborate effectively with stakeholders - Ability to analyze complex risk scenarios, identify potential risks, and develop effective mitigation strategies - Excellent communication skills to enhance ERM acceptance through training and organizational communications - Proficiency in using ERM tools and systems to drive adoption and enhancements - Ability to align the ERM process with the company's strategic and operational objectives Qualifications: - Educational Background: A Chartered Accountant or Masters" degree in Business Administration, Management, Finance, or related field (masters degree mandatory) - Experience: 10-12 years of experience in managing complex risk management frameworks - Professional Certifications: Relevant certifications in risk management such as CRMP, CRM, or similar are highly desirable - Specialization: Experience in ERM, Operational Risk Management, Internal Audit, or GRC function is preferred Join us at Birlasoft and be a part of our vision to revolutionize business processes through technology and innovation.,

Team Summary: Visa Consulting & Analytics (VCA) is Visas client-facing consulting division, serving Visas clients (including card issuers, acquirers and merchants) and solving their strategic problems linked to money movement. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. In Asia Pacific (AP), VCA has two types of teams - (1) Geo team, focused on serving the accounts in their geography and (2) Practice Area teams, focused on providing and deepening expertise in functional topics such as risk, digital, corporate banking, AI, etc. What A Consulting Sr. Manager - Credit Risk, Asia Pacific does at VISA: The VCA Credit Risk Advisory team is responsible for delivering advisory services to Visa s clients across Credit Risk and Portfolio Optimization areas. The Senior Manager Credit Risk individual will bring expertise in both the Credit Risk functional domain and in risk analytics gained as Risk practitioner within a bank and/or a specialized risk consulting firm. We are looking for a motivated, analytically minded individual with a track record of using Risk expertise to unlock business value. As a Sr. Manager, you will play a pivotal role in developing and expanding our Credit Risk consulting services across the Asia Pacific region, focusing on key priority areas that will grow both Visa s and the client s business. One of the key priority areas will be issuer portfolio optimization. Potential projects include optimization of the client s processes around cards acquisition, underwriting, portfolio management and collections, development of risk models and their use for decisioning across the credit lifecycle, etc. Key responsibilities for the Senior Manager Credit Risk include: Contribute to the delivery of Credit Risk advisory engagements across Asia Pacific Collaborating with the client s team (both internal and external) to understand the business problem and desired business outcome Business Development: Prepare client proposals and project plans, identifying dependencies, roles and responsibilities, scope, and deliverables. End-to-end delivery of multiple projects within timelines, scope and budget requirements Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables Support the development and maintenance of consistency, standards and quality control of Credit Risk consulting methodologies, ensuring world-class best practices and efficiency through economies of scale. Thought Leadership, Practice, and Solution Development: Create consulting practice materials such as set-plays, pitch decks, whitepapers and other assets following best practices and the latest IP that Visa s market teams can use to scale reach and impact. Why is this important to VISA: With a rapid change in the payment landscape, new regulations around open banking and the emergence of new Fintech players and AI technologies - the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose. Visa with its global reach and rich transaction data set is ideally positioned to assist banks and merchants solve their strategic business problems and drive growth. As a Senior Manager, you will contribute to expanding VCA consulting engagements with our clients to drive new revenue streams. What you will need: Candidate with 10+ years of risk experience in banking / consumer lending industry preferred. Graduate / Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred. Domain expertise in Credit Risk Management. Deep understanding of the credit risk industry, key players, regulatory framework and credit risk management best practices. Understanding of the credit risk models development approach, decisioning strategy definition and implementation, operational and regulatory reporting. Understanding of the consumer Credit risk landscape in AP preferred. Self-motivated, results oriented with strong analytical and problem-solving skills, with demonstrated ability to think creatively and strategically Excellent communication, storytelling and presentation skills. Detailed oriented, the candidate is expected to ensure the highest level of quality/rigor in deliverables, reports & data analysis. Proven skills in translating analytics output to actionable recommendations. Experience in presenting ideas and analysis to stakeholders with the ability to tailor data driven results to various audience levels. Expert proficiency in power point and excel. Team player with collaborative, diplomatic, and flexible style, able to work across cultures. Individual, that upholds and promotes the highest ethical standards and mutual respect in the workplace. Exhibit intellectual curiosity and strive to continually learn. What will also help: Strong financial acumen and understanding of profitability drivers of financial institutions Proficiency in some of the following statistical techniques: Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis etc.

Serve as the primary point of contact for North American clients, managing inquiries, service requests, and issue resolutions efficiently and professionally. Build and maintain strong client relationships through regular communication, service reviews, and personalized support. Collaborate with internal departments such as sales, operations, and technical teams to ensure timely and effective service delivery. Track client satisfaction and feedback to identify areas for service improvement and implement corrective measures.

Proficient verbal and written English communication skills including: Correct grammar, vocabulary Strong reading comprehension and assimilating information Clear and concise writing including email communication and presentation Articulates thoughts well on emails and documentation to provide clear and concise information Asks specific questions and identifies topic owners and timeframes Prioritize conflicting needs, handle matters expeditiously and proactively. . Proficient in MS Outlook, Forms, Teams, OneNote, Word, EXCEL and PowerPoint including: Ability to extract reports from systems Creating surveys and polls Excel basic data entry, filtering, formatting, data scrubbing, pivot table and graph creation PowerPoints skills to update data, formatting, creating charts and icons Outlook and Teams calls and channel setup, facilitate and record meetings Proficiency in SharePoint including site setup, configuration and design changes including folders and tagging files and managing user permissions Proficiency documentation skills such as log updates in tracking logs, always take meeting notes, update relevant trackers and prep before meetings. Proactively monitor tasks delegated by the stakeholders to ensure they are achieved within agreed deadlines. Co-ordinating with Cross Functional Teams to ensure deliverables are met. Able to secure resources, manage stakeholder expectations, and drive project outcomes. Should be able to coordinate and maintain cordial relationship with all members of the team. Team engagement, collaboration with other colleagues/peers and broader team. Being engaged and present during meetings and calls. A motivated self-starter with strong interpersonal and preparation skills including being aware daily and weekly responsibilities and meetings, and showing up prepared and ready to engage in the discussion. Work involves handling confidential information requiring discretion on the employees part. Able to assimilate multiple sources of information to effectively organize and document questions and next steps. Comes to meetings prepared and takes effective notes. Implements system to maintain pertinent documents (data, notes, emails) in order to easily access/retrieve documents as needed (in accordance with company document policies). Advanced critical thinking skills such as The ability to identify and evaluate evidence in order to formulate the right questions and/or recommendations to make (or support) an appropriate decision. The ability to identify roadblocks, limitations or issues that arise during a project. Uses a structured system to define problems and identify root causes. Can test and brainstorm on potential solutions and monitor results. Able to affect change to improve performance and overcome challenges. Proactive to share continuous improvement ideas and implement process improvements to enhance efficiencies. Qualifications Graduate

Reviewing documents from Carrier (Insurance Companies), post which anticipate revenue. Will be interacting with client managers daily to ensure WTW maintains exceptional data integrity within our systems and processes. To work with assigned offices to ensure the data integrity of the documents supplied by the client managers. Policy setup/renew/management in multiple systems basis carrier/third party documents or instructions from client managers/local office. Support the assigned offices by implementing standard guidelines to be followed when requesting SOX documents and information related to policy renewal. Need to maintain expected level of quality. Ensure adherence to compliance & standard procedures. Key Skills Required for the Job: Strong client relationship and interpersonal skills. Proven experience in successfully managing multiple projects within specified guidelines. Ability to learn new processes and systems, also should have the ability to adapt to changes. Energetic, enthusiastic individuals. Logical thinking. Ability to prioritize and organize tasks, accomplish within stipulated timelines. Ability to work independently and as part of a team. Intermediate skills in Microsoft Excel (Macros & Formulas preferable). Ability to work under pressure and meet tight deadlines. Focusing on Clients Working in Teams Driving Excellence Fostering Innovation Adapting to Change Shift Timing:-6:30 PM to 3:30 AM Qualifications Qualifications: Commerce Graduate Knowledge: Financial or analytical background preferred. Intermediate skills in Microsoft Excel Experience: 2+ years of experience in in a client-service oriented environment preferably insurance

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. 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Risk management area serves as a key differentiator to optimize and grow revenue from consumers and small businesses for Mastercard. Consumer Credit Analytics Global Product team is executing on exciting consumer capability initiative delivering against Product roadmap to drive customer value and business impact. This role is for a Senior Analyst who will work across Product. Client Services & Delivery, Data & Engineering and the broader O&T teams to help drive product execution at scale while addressing client pain areas and seamless delivery. This role will report into Vice President of Product Management (Consumer Credit Risk). Key Responsibilities: Participate in bringing solutions to market through Mastercard Studio process through desirability, feasibility, and viability paradigm Own client feedback and issues related to Mastercard s Consumer Credit Risk Analytics (CCA) products Manage inbound inquiries through various channels (email, phone, support ticketing system) and ensure timely and accurate responses. Understand the core features, benefits, and data flows of each CCA product to address customer questions effectively. Collaborate with internal teams (Product, Engineering, Data Science, Central Customer Service Account Management) to escalate and resolve more complex issues. Document and track client issues using Mastercards customer support tools; provide feedback to internal teams on recurring questions or pain points. Support client onboarding and product training by answering how-to questions and reinforcing best practices. Identify and suggest opportunities for process improvements and automation in the customer support workflow Interface with Regional Product & SBL to test concepts and monitor issuer pilots Operationalize for CCA requisite processes relating to market scan assessment and guidance Qualifications: Basic understanding of credit risk concepts and data products. Experience supporting B2B clients, particularly in the banking or fintech sector. Comfort working with cross-functional global teams across time zones. bachelors degree in Business, Finance, Analytics, or a related field. 3+ years of experience in customer support, preferably in a data or analytics product environment. Strong verbal and written communication skills with the ability to explain complex concepts in a clear and concise manner. Demonstrated problem-solving skills and a proactive mindset. Experience with ticketing systems (eg, Salesforce, Zendesk, Jira) is a plus. Familiarity with credit risk, financial services, or data analytics products is highly desirable. Corporate Security Responsibility Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and complete all periodic mandatory security trainings in accordance with Mastercard s guidelines

We are seeking self-motivated and analytically driven professionals to join our Risk Analytics team. The ideal candidate to have a strong background in Credit Risk or Portfolio Risk Management , with the ability to derive actionable insights through robust data analysis. You will work closely with cross-functional teams and contribute toward maintaining and improving portfolio quality across lending products. Key Responsibilities Develop insights and recommendations to support business decisions and risk mitigation strategies Contribute to Expected Credit Loss (ECL) modeling, loss forecasting, and stress testing exercises Evaluate Early Warning Signal (EWS) frameworks using internal and external data sources as well as developing & deploying new models Collaborate with Credit, Product, and Business teams to drive risk-based strategies Participate in portfolio performance reviews and highlight emerging risk trends Required Skills & Competencies Experience in portfolio risk assessment, especially in Retail and/or SME lending Strong analytical skills with an eye for detail and a problem-solving mindset Proficiency in Python for data analysis and model development Advanced Excel user able to work with pivot tables, lookups, and automation Self-starter with the ability to work independently as well as in a team environment Familiarity with credit appraisal processes and risk assessment methodologies is an added advantage Educational Qualifications CA / MBA / B.Tech / Postgraduate degree in Statistics, Economics, or related quantitative field Experience 1-2 years of experience in the lending business of a Bank or NBFC Preferably worked in Credit Risk / Portfolio Monitoring / Risk Analytics functions

The Objective of the role is to oversee risk oversight across diverse asset classes and regulatory environments, supporting the firm s Mutual Fund, Alternative Investment Fund (AIF), National Pension System (NPS), and GIFT City-based businesses. The following are the key responsibilities: Investment Risk Oversight Monitor investment risk exposures across equity, fixed income, hybrid, and alternative portfolios. Design and implement portfolio risk dashboards and exception reports for CIOs, investment committees, risk committees, and trustees. Perform daily/weekly risk assessment basis the defined risk appetite and thresholds & conduct concentration risk assessments. Evaluate portfolio compliance with scheme investment objective, client guidelines, and internal risk limits. Conduct stress test or scenario analysis basis regulatory models, internal models or predefined scenarios i.e. macro, geopolitical and idiosyncratic stress viz. interest rate spikes, credit events, geopolitical shocks, etc. Hedge fund & Cross-Border Risk Evaluate investment risks related to Alternative funds & funds operating out of GIFT City including cross-currency exposures, offshore allocations, and derivative strategies. Design and implement portfolio risk dashboards and exception reports for the hedge funds and alternative funds Product & Regulatory Risk Ensure investment management adherence under SEBI (MF, AIF), PFRDA (NPS) and IFSCA regulations. Support various regulatory and internal risk filings & disclosures Review new product proposals from a risk perspective and contribute to Executive committee or Investment committee documentation. Represent the risk evaluation of various schemes to the investment committee, risk committees & trustees on periodical basis Tools, Analytics & Frameworks Enhance use of risk and performance attribution systems like Bloomberg PORT, FACTSET, etc. Enhance use of quantitative tools such as Python, R, Excel VBA, or Power BI for automated risk reporting. Collaborate with tech teams to integrate external risk engines and internal tools. Maintain risk models, monitor exceptions, and back test portfolio risk behavior. Years Of Experience: 5 to 7 years with relevant experience in investment risk management Qualifications: Postgraduate degree in Finance, Economics, Mathematics, or related field. CFA/FRM preferred. Strong command over fixed income and derivative risk analytics.

About The Role - Kotak Mahindra Bank looking to hire Team Member-Credit Risk " 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 Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams" Preparing and submitting reports to the regulator and or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis." Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building." Ensure reliability, integrity and consistency of reported and underlying data" Build and manage a team of like-minded data analysts and modellers" Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage." Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable" Extensive experience and expertise in using any one or more among Python SAS R. Intermediate level SQL skills will be useful." Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches." Experience in projects involving automation data consolidation in the areas of risk or financial reporting would be an advantage

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2-7 years of experience in the BFSI industry, with expertise in credit analysis and risk management. Roles and Responsibility Conduct thorough credit analysis to assess customer creditworthiness. Develop and implement effective credit policies and procedures to minimize risk. Collaborate with cross-functional teams to ensure seamless credit processing. Monitor and analyze credit portfolio performance to identify areas for improvement. Provide expert guidance on credit-related matters to internal stakeholders. Stay updated with regulatory changes and industry trends to enhance credit operations. Job Requirements Strong understanding of credit principles, including credit scoring and risk assessment. Proficiency in credit software applications and systems. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills to build relationships with customers and stakeholders. Experience in the BFSI industry, preferably in a similar role as a Credit Officer.

The role of State Technical Head involves leading and managing the technical aspects of the Credit Department's operations to ensure efficiency and effectiveness. This includes overseeing the development and maintenance of credit-related software, systems, and technological infrastructure. Collaboration with cross-functional teams is essential to understand business requirements and translate them into technical solutions. Implementing and enhancing credit scoring models, algorithms, and decision-making tools are key responsibilities. Integration of new technologies to streamline credit processes and enhance data analytics capabilities is crucial for success. As a State Technical Head, you will manage and lead a team of technical professionals, providing guidance and support for their professional development. Collaboration with IT and security teams is necessary to ensure the security and compliance of credit-related systems. Evaluating and recommending emerging technologies to enhance the Credit Department's capabilities will be part of your role. Troubleshooting and resolving technical issues related to credit systems and applications, as well as providing technical expertise and support for credit-related projects and initiatives, are important responsibilities. To qualify for this role, candidates should have a Bachelor's or Master's degree in engineering or a related field, along with at least 5+ years of proven experience in a technical leadership role within the credit or financial services industry. In-depth knowledge of credit scoring models, risk analytics, and credit decisioning processes is required. Proficiency in programming languages and database management, as well as a strong understanding of data management, data integration, and data governance, are essential. Leadership and team management skills, along with excellent communication skills to convey technical concepts to non-technical stakeholders, are also important. Candidates should be familiar with cloud computing platforms and technologies, detail-oriented with a focus on system security and compliance, and have the ability to adapt to evolving technologies and industry best practices. Interested candidates meeting the specified criteria can share their CV at aamer.khan@herohfl.com. Please note that only individuals residing in the Mumbai region and possessing good knowledge about Mumbai region properties should apply for this position.,

Risk Analytics : Perform analytics to support multiple workstreams within FC (Financial Crime) in a dynamic regulatory environment (using SQL/Python). Work with large volumes of structured and unstructured data to drive meaningful insights Risk monitoring: Identifying and reacting to emerging financial crime issues and trends, working with stakeholders to ensure the organisation and its partners, customers and clients are protected. Analysing large sets of data to identify risks and trends, make informed decisions, and enable issue resolution through effective collaboration with key Partners Reporting analytics to build a robust reporting system that will provide key risk metrics for businesses and leaders. Qualifications: Degree in a quantitative area (eg Finance, Statistics, Economics, Mathematics and Engineering) is preferred. Past Experience: 2 years of relevant work experience preferred. Technical and Function Skills/Capabilities: Proactive thinking and strong analytical skills Strong ability to solve unstructured problems through data Strong process mindset and ability to collaborate Excellent critical thinking and attention to detail Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities Proactive learner with the ability to quickly learn new concepts and techniques with minimal supervision Solid experience with analytical (SQL, Hive, Python) tools is expected Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences Good to have dashboarding experience using excel/tableau Knowledge of Financial crime and/or regulatory management experience is preferred We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

An Opportunity to Work with One of India's Leading Credit Card Tech Innovators BOBCARD (A Bank of Baroda Subsidiary) Educational Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, Information Technology, or a related field . Experience Requirement: 5+ years Applicants should possess the following attributes: Technical Skills: Should have knowledge database design and development skills in Non- Relational Databases, SQL /. PL SQL, Oracle/MS SQL/MySQL Following GCP skillsets are necessary - BigQuery Storage, BigQuery ML, Cloud Data Fusion, Looker Studio Pro, Looker ML, DataStream Google Cloud platform especially Big Query Dataflow Experience with Java and Python and Google Cloud SDK API Scripting Experience in writing ETL/ELT Good Knowledge of Data modelling, Dimensional Modelling and Data Visualisation Proficient in SQL, Excel, Data Analytics, Data integration, Metadata Management Experience in Implementing complete project on GCP -AI / ML Experience Tableau / Power BI / Qlik Sense/ Looker Studio Use the full breadth of capabilities within Google Looker Studio to develop dashboards, Visual components, data Reports and analytical tools Proficiency in Oracle R, Python will be an added advantage Presenting complex data in visually appealing and insightful ways to aid story- telling and communication Strong knowledge of SDLC methodologies Agile/Scrum / Solid Principles Good understanding of Database Design Concepts Certification of Analytics with AI/ML would be an added advantage. Role & Responsibilities This position would include the mentioned set of responsibilities but not limited to: The candidate should be self-motivated, multi-tasker, and demonstrated team-player. Responsible for the managing the product development and maintenance in IT team of the organisation. Must have worked with large-scale applications and frameworks Learn and enhance own skillset and of team. Stay up to date to latest technology. Writing clean, high-quality, high-performance, maintainable code. Coordinate cross-functionally to ensure project meets business objectives and compliance standards Ensuring high performance of the application. Develop, test, and deploy fast and scalable system Designing and maintenance of fully functional applications and databases. Timely deployment of web apps on the cloud and on-prim/monolithic. Understanding of server management and cloud-based infrastructure. Establishment and integration of development tools as required Identification of application issues when deploying the apps App deployment on the cloud along with solving debugging issues Coding architecture for frontend and backend Building interactive consumer data Testing applications and fixing bugs, along with security and data protection features Solve Technical Challenges Cooperating with the back-end developer in the process of building the Cloud based Analytics platform Develop and support Analytics Platform Interested Professionals can also apply via our careers page: https://bobcard.turbohire.co/job/publicjobs/9IJ04bfVo3kTnyMKczuuhM3wpm81HcOhip9k0uecVaDF1y6XWQ9jRsFiuPYS7dQw