604 Risk Analytics Jobs - Page 6

The job involves working at KPMG, a professional services firm in India affiliated with KPMG International Limited. KPMG has been operating in India since August 1993, with offices located in various cities across the country such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. The professionals at KPMG leverage the global network of firms and possess knowledge of local laws, regulations, markets, and competition to serve national and international clients in India across different sectors. The primary focus of KPMG entities in India is to provide rapid, performance-based, industry-focused, and technology-enabled services that demonstrate a deep understanding of global and local industries and expertise in the Indian business environment. The job role may involve working in risk analytics. Qualifications required for the position include a B.com degree, CFA-level 2 certification, or CQA (Certified Quality Auditor) qualification. KPMG is an equal opportunity employer, providing a fair and inclusive work environment for all employees.,

The Model/Anlys/Valid Analyst I is a trainee professional role that requires a good knowledge of processes, procedures, and systems essential for carrying out assigned tasks. You should have a basic understanding of the underlying concepts and principles relevant to the job. It is important to have a good grasp of how your team collaborates with others to achieve the area's objectives. Your role involves making evaluative judgments based on factual information and resolving problems by applying acquired technical experience. While being guided by precedents, you must identify and select solutions effectively. Communication skills are crucial as you need to exchange information concisely and logically while being sensitive to audience diversity. The impact of your work on the business is limited to your own job. Responsibilities: - Develop, enhance, and validate methods for measuring and analyzing risk across all risk types such as market, credit, and operational risks. - Assist in preparing both routine and ad-hoc reports in alignment with the Risk Management Team's priorities, conducting integrity checks on reports, and verifying key numbers from other independently created reports. - Support projects aimed at continuously improving risk analytics, modeling, and validation systems, as well as optimizing reports. - Demonstrate understanding of database structures, key business categories, internal banking processes, and statistical/mathematical concepts. - Utilize strong analytical and process management skills to ensure quality control over generated data. - Collaborate with senior and junior staff in executing projects and reports as needed. - Assess risk appropriately during business decision-making processes, with a focus on protecting the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with laws, rules, and regulations, adhering to policies, exercising ethical judgment, and addressing control issues transparently. Qualifications: - Proficiency in Microsoft Office, particularly MS Excel. - Consistent demonstration of clear and concise written and verbal communication skills. - Self-motivated and detail-oriented. Education: - Bachelor's/University degree or equivalent experience. If you are a person with a disability and require a reasonable accommodation to use our search tools or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

As a Jr. Data Scientist (Analyst III) specializing in Fraud & Credit Risk - Decision Science at Fiserv, you will be a key member of the Global Business Solutions (Merchant business) team. Your primary responsibility will involve developing and implementing predictive Machine Learning models to automate risk controls, thereby minimizing fraud and credit risk losses while simultaneously driving revenue growth. Your work will revolve around creating data-driven solutions, insightful analytics, and models/rules to effectively manage risk and identify new opportunities. This role will require you to collaborate with both internal and external stakeholders to deliver top-notch analytical solutions and support functions like New Merchant On-boarding & Underwriting, Existing Merchant Risk Monitoring, among others. Your daily tasks will include developing and deploying ML/predictive models by leveraging both internal and external data sources, tracking and monitoring model performance, conducting complex analysis using statistical and quantitative techniques, evaluating and integrating data for modeling and reporting, extracting insights from data to evaluate key performance indicators, partnering with business and technical subject matter experts to address business challenges, supporting the enhancement of risk data capabilities through advanced technology and real-time decision-making, implementing models and decision rules in production with IT/deployment teams, preparing documentation to meet stakeholder needs, mentoring junior team members, and ensuring successful project delivery. To qualify for this role, you should hold a Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or a related field, along with a minimum of 7 years of experience in risk/marketing data analytics or predictive modeling. Proficiency in SQL, Python, SAS, or other analytical tools/open-source programming languages, strong technical skills, problem-solving abilities, and excellent communication and interpersonal skills are essential. Additionally, possessing a Master's degree in the relevant fields, over 10 years of experience, and hands-on exposure to AI/Money Laundering techniques would be highly advantageous. Fiserv appreciates your interest in joining our team. To apply, kindly submit your application using your legal name, complete the profile requirements step-by-step, and attach your resume. We are committed to fostering diversity and inclusion within our organization. Please note that Fiserv does not entertain resume submissions from agencies without prior agreements, and we caution against fraudulent job postings that are not affiliated with us. Any communication from a Fiserv representative will originate from an official Fiserv email address.,

You should have at least 2 years of experience in model validation, implementation, or risk analytics, preferably within the banking or credit card industry. Your responsibilities will include performing independent validation of models using techniques such as stress testing, back-testing, and sensitivity analysis, XGBoost to evaluate the accuracy, reliability, and stability of models. A strong understanding of statistical and machine learning concepts is required, including regression, classification, clustering, and neural networks. You should also have experience with statistical testing, hypothesis testing, and data validation techniques. Proficiency in Python, SQL, data analysis, and model implementation is essential for this role. Excellent written and verbal communication skills are necessary to effectively present technical findings to non-technical stakeholders. It would be advantageous to have regulatory understanding, such as Basel, OCC, and Federal Reserve guidelines. Ideally, you should have a Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field. Advanced degrees are preferred for this position.,

Act as an owner of analytics solution supported by Aladdin Data platform Aspire to grow & improve the analytics estate and increase its commercial value Understanding of risk models, configuration, single security (ABS, CMO, MBS, BND), Portfolio, Risk & Return Be the custodian of analytics (by ensuring completeness, accuracy, and proper governance ) In addition, strive to scale Aladdin s analytical capabilities Work with analytics & modeling teams to ensure new models meets business requirements and in compliant with our data quality policy Design data quality checks and performance metrics to evaluate data integrity, identify deficiencies, and pinpoint opportunities for analytics model and platform improvements Conduct large scale testing and provide essential results and insights to support the implementation and adoption of Aladdin s quantitative financial models and analytics by users and businesses Provide analytical data and platform expertise to address dynamic business requirements, market developments, regulatory modifications, and newly introduced financial products Collaborate with cross-functional teams to implement new analytics and business solution around it, products like climate and private credit analytics Address complex analytical questions with expertise in models and analytics Establish GOLD standards for Instruction Data, manage client change requests, and update scorecards and reports Mentor and train junior analysts as they build expertise and gain exposure Experience : Candidates must have a proven history of addressing challenging real-world issues in investment and risk management sectors The individual will be required to utilize their advanced quantitative abilities to oversee intricate performance analytics initiatives aimed at enhancing the analytics platform 4+ years of experience in capital market, investments, or financial technology industry, managing investment, risk, and/or performance analytics from modeling, data, or services perspective Track record of working with financial markets, investment and risk analytics, and data management functions Experience in leading cross-functional initiatives, with strong communication skills and project management ability Aladdin experiences from capital market, financial services firms, a plus Experience working within Agile project management frameworks is a plus (including tooling such as Azure DevOps) Qualification Degree in finance, engineering, mathematics, quantitative or related discipline Bachelor s degree is required Advance degree preferred Comfort with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, Hadoop, Spark SQL, Power BI, etc Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus Skills : Proficiency in analytical skills and the capability to develop expertise in Aladdin s proprietary models, encompassing fixed income analytics, multi-asset investment analytics, value-at-risk (VaR), and performance attribution Strong problem-solving skills, attention to detail, and an ability to navigate the analytics platform for conducting analysis and deriving solutions Enthusiasm for, and comfort with, working in a high pressure and fast-paced environment with entrepreneurial and team-oriented setting Strong project management skills Ability to prioritize deliverables/enquiries when multi-tasking, structure multiple communication streams and manage workflows

Perform and communicate with guidance from other team members in North America/ Canada, routine and recurring plan administration tasks for clients defined benefit pension schemes (e.g., benefit calculations, forms review, payment processing). Continuously seek to identify areas where the service to clients/members could be improved and communicate to the Senior Administrator/Team Leader. Deal with queries and requests by the use of standard letters and reference to procedures. Recognise and escalate potential problem and potential complaint cases and procedures. Seek clarification where errors are made. Monitor own workflow to ensure service levels are achieved. Prioritise and manage own workload and maintain a rolling schedule of objectives. Accurately perform manual calculations. Know and live the firm s values. People Assist the wider team in more complex / project work when required. Accountable for own development, identifying and raising any learning needs with Administration Co-ordinator. Understand your role within the team. Support colleagues for holiday cover and workload peaks. Update and maintain skills matrix. Clients Help to provide an efficient, professional service to meet all client/members needs and to promote the Willis Towers Watson brand. Develop knowledge of clients pension schemes. Build and maintain a good relationship with the clients. Be a point of reference for standard automated cases. Deal with all communications within defined quality and service standards. Financial Ensure timely completion of timesheets. Ensure chargeable hours targets are met. Qualifications: Graduate

Job Title: Risk Analyst Commerce About the Role: We are seeking a skilled and detail-oriented Risk Analyst to join our Commerce Risk team. This role is critical in driving risk intelligence through data-backed insights and timely analysis. The ideal candidate will not only work with large datasets and analytical models but will also be responsible for translating technical findings into clear, actionable summaries for leadership and cross-functional stakeholders. The analyst is expected to identify risks, uncover patterns in user behavior, and support strategic risk mitigation decisions across the platform, particularly in the areas of customer abuse, promotional misuse, and trust violations. Role Requirements 3-7 years in Data Analysis/Risk Analytics SQL Proficiency: Strong skills in complex queries (window functions, CTEs, joins, aggregation, ranking, and query optimization techniques) Regex Knowledge: Ability to use regex in fraud detection rules and data cleaning Rule Writing Capability: Can design and implement end-to-end detection logic (velocity checks, limit abuse, duplicate usage, promo abuse) Alert Generation: Ability to design alert logic and thresholds based on fraud patterns Exploratory Analysis: Ability to deep-dive into large datasets to detect anomalies, suspicious trends, or unusual customer behavior Python/R (Optional): For statistical analysis, anomaly detection, or data automation Experience with Fraud Domain: Exposure to eCommerce fraud types (promo/offer abuse, return/refund abuse, transaction velocity, account takeover, device/geo anomalies, synthetic IDs, chargebacks) preferred Reporting & MIS: Can build automated reports and dashboards for fraud monitoring Key Responsibilities: Prepare and analyze complex datasets to identify risk patterns, surface anomalies, and validate business hypotheses. Build concise summaries and visualizations that simplify technical data for diverse audiences, enabling informed decision-making across Risk, Product, and Business teams. Communicate insights through clear narratives, providing actionable recommendations and highlighting associated risks and trade-offs. Design and execute BI and reporting frameworks to monitor key metrics, rule performance, and customer impact across commerce brands. Collaborate with data engineering teams to maintain robust data pipelines and models for risk signal generation. Contribute to data modeling efforts and manage risk-centric data structures within the data warehouse. Support development and refinement of risk rules and machine learning models to strengthen detection of fraudulent or abusive behaviors. Maintain documentation and continuously evolve analysis SOPs based on the latest business rules, thresholds, and ecosystem learnings. Role Requirements: 3-7 years of hands-on experience in risk analytics, fraud detection, or business intelligence, preferably within eCommerce or fintech domains. Proficient in SQL and Python for data extraction, transformation, and visualization; exposure to tools like R, Tableau, Power BI is a plus. Strong understanding of data warehousing, data modeling, and performance monitoring techniques. Experience working with rule-based and predictive risk frameworks is preferred. Excellent communication and storytelling skills, with the ability to present insights to non- technical audiences in a structured and impactful manner. Proven experience working in cross-functional environments, balancing business priorities and analytical rigor. Basic Qualifications: Bachelors degree in a quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, or a related field.

Job Title: Portfolio Strategist Location: Gurugram Job Type: Full-time Experience Required: 4+ years in Portfolio Management Preference: Immediate joiners About the Company: Creditas is an innovative FinTech Organisation that uses Machine learning and Technology to serve a simple mission- help Financial Institutions find better ways to reach and interact with their customers. Over 15 years, weve grown to become a leading provider of Customer Engagement Solutions to the top Financial Institutions in India. Job Purpose : Portfolio Strategist- will be responsible for managing and driving the performance of a defined portfolio of accounts/customers to ensure effective debt recovery and minimize delinquency. The role requires strong analytical, people management, and process management skills to optimize collection strategies while ensuring compliance with company policies and regulatory guidelines. Key Responsibilities : • Analytical skill to drive performance of the portfolio. • Manage end-to-end collections for assigned portfolio, ensuring achievement of recovery and efficiency target. • Build and maintain strong client relationships to ensure effective resolution of overdue accounts. • Monitor and analyze portfolio performance; develop corrective strategies to minimize risk and losses. • Lead and mentor agents to drive productivity. • Conduct regular training, coaching, and performance reviews of the agents. • Drive initiatives to reduce delinquencies and non-performing assets. • Take ownership of P&L for the assigned portfolio. • Manage multiple portfolios to achieve recovery, efficiency, and profitability targets. Qualifications: • 4+ years of experience in portfolio management. • Proficiency in data analysis using MS Excel, etc. • Ability to work in a fast-paced environment and manage multiple portfoliossimultaneously. • Experience in banking, NBFC, fintech, or related financial services industry preferred. • Excellent communication, Analytical skills, and problem-solving skills. Why Join Us ? • Opportunity to grow in a fast-paced and innovative environment. • Collaborative work culture with room for personal and professional growth. • Competitive compensation package and benefits

Roles & Responsibilities: As a Lead Risk Strategy Analyst, he/she monitors lending for banks and borrowers to evaluate risks; predict the performance of loans and provide recommendations for future Credit/ Operation/ Product practices Provide thought-leadership on improving customer acquisition strategies, developing statistical credit models, and communicate analytical and credit ideas Good understanding of Organization's Risk Operating Framework and overall Risk Appetite Understanding of Bureau data and leveraging same for risk segmentations with professional liaison Drive portfolio revenues through effective inroads in the existing base, and consistently increase towards product penetration. Ensure activation, balance build, digital usage, cross sell, retention and revenue realisation in line with the budget Set priorities and manage projects of medium to large scope; identify roadblocks and work to resolve them. Adapt to changing environments, resources, and project demands. Create, review, and deliver formal presentations of work to internal or external clients. Utilize strong database skills to work with large, complex data sets to extract insights Mentor and coach junior team members. Requirements/Qualifications : Experience in core risk analytics expertise Bachelor degree in B.Tech/ MCA/ Statistics and MBA would be an added advantage Strong analytical, conceptual, and problem-solving abilities. Proficiency in relevant analytic programming skills (R, Python, Excel, SQL, BI Tools) and willingness to work closely with large data sets and get into the details with business processes Strong communication, presentation and client facing skill sets Quick problem solving capabilities. Lead project team to deliver projects on time with client's satisfaction. Proven capabilities in people management and leadership Must have the ability to work effectively within a team and be flexible to work on multiple projects Self-starter, with demonstrable ability to work proactively and independently to drive results Experience in managing the credit / risk management processes in FinTech/ NBFC companies is desirable A leader possessing the highest levels of ethics, values and integrity Should has a Can do attitude”

Sr Analyst, Non-Financial Risk Quantification, is a key member of the Risk Analytics Team, acting as an individual contributor in the development and maintenance of high-quality risk analytics for Non-Financial Risk models. The analyst will ideate, develop and test quantitative modelling and measuring techniques, and support other aspects of analytics including automation, data engineering and present ideas and result to leadership team. The role will cover several aspects of model lifecycle including development, monitoring, recalibration, and implementation of risk models in R/Python etc. Major Duties Research and evaluate quantitative approaches for model development; coding, testing and validation Assist team members in the statistical model development, monitoring, implementation and model validation for Operational Risk models (AMA capital estimation, stress testing, capital allocation etc) Work on improving efficiencies and modelling activities that require enhancements for execution, standards and maintenance of risk models Pitch, develop, and test Machine Learning and AI models and compare the model performance against the legacy statistical models Examples of some of the commonly used techniques used by our team include OLS and Logistic Regression, Time Series Regression, Monte Carlo Simulation, Decision Trees, Gradient Boost, Bayesian Inference etc Skills Required 2-3 years of experience Sound knowledge of Probability and Statistics Experience in Data Science Projects (Statistical Modelling/Machine Learning) Programming in R/Python Knowledge/Interest in Banking and Financial Services

To maintain Accuracy/Quality as per the standards agreed by the Business Unit for all SAFR reviews To manage workload/ volumes and delivery expectations as per business requirement To develop a sound understanding of the business process the reviews are conducted for. To maintain and update the centralized inbox and tracking database regularly To maintain detailed records of communication with all parties, including changes being made on the Extreme focus on quality with the understanding of the financial/legal implications To draw Leadership attention to anomalies within the process Active participation in all interactions (Team huddles, stakeholder discussions, etc.) To work within the regulatory requirements as needed within the organization Top 5 Competencies Focusing on Clients Working in Teams Driving Excellence Influencing Stakeholders Adapting to Change Qualifications: Graduate/Postgraduate

Join WTW as our SEA Employer Branding Specialist and spearhead dynamic campaigns that showcase our authentic, curious, and bold culture and attract top talent. With WTW, youll have the opportunity to shape our employer brands online presence and drive engagement across global markets. Transform your tomorrow, today Elevate your career and make an impact come create, captivate, and connect with our future candidates like you The Role Social Media Paid Campaigns: Develop end-to-end, implement, manage and optimize paid social media campaigns on platforms such as LinkedIn, Facebook, Instagram, and YouTube (all done internally no agency involved). Create engaging content tailored to different social media channels. Google Search and Display Paid Campaigns: Plan and execute Google Ads campaigns (Search and Display) to increase brand visibility and attract potential candidates (all done internally no agency involved). Conduct keyword research and optimize ad copy for maximum impact. Analyze campaign metrics and adjust strategies as needed. Management of Review Sites: Oversee and optimize sponsored ads on platforms like Indeed, Glassdoor, and other relevant job boards. Campaign Monitoring and Optimization: Track and analyze the performance of all employer branding campaigns. Use data-driven insights to optimize ongoing and future campaigns. Prepare regular reports on campaign performance and ROI. The Requirements Proven experience in digital marketing, specifically in managing end-to-end paid social media, Google Ads, and YouTube campaigns. Proficient in using digital marketing tools and platforms (e.g., Google Analytics, Hootsuite, AdWords, Meta Business suite/Ads Manager, LinkedIn Ads manager). Strong analytical skills and ability to interpret data to make informed decisions. Excellent communication and collaboration skills. Ability to work independently and manage multiple projects simultaneously

Greetings from Ionixx!!! Charles River IMS Portfolio Management & Risk Consultant (Contract) Location: Remote Duration: 36 months (extendable) Role Summary We seek a CRIMS Portfolio Management & Risk Consultant to support portfolio managers and risk analysts in portfolio construction, monitoring, and risk management. The role covers daily support as well as configuration and implementation of portfolio & risk functionalities, enabling informed investment decisions with CRIMS analytics and scenario tools. Key Responsibilities Support portfolio monitoring, rebalancing, and scenario analysis in CRIMS. Configure and maintain risk analytics (VaR, stress tests, what-if scenarios). Lead/assist with implementations: setup of blotters, dashboards, benchmarks, and advanced portfolio tools. Coordinate with IBOR team to ensure accurate holdings, cash, and analytics integration. Train users on CRIMS portfolio/risk features; troubleshoot issues and liaise with CRD support. Qualifications & Experience 5+ years hands-on CRIMS portfolio/risk module experience; at least one end-to-end implementation preferred. Strong knowledge of multi-asset portfolio strategies, rebalancing, and risk metrics . Skilled in CRIMS configuration, SQL/Excel, and market data integration. Excellent communication and analytical skills. Bachelor’s in Finance/Business/IT; CFA/FRM preferred.

We are looking for someone with hands-on experience in risk analytics with technical skills of SQL & tableau. He/she should have worked on designing and analyzing risk management framework across customer lifecycle acquisition, portfolio management. Location- Bangalore, Gurgaon, Pune, and Hyderabad Someone who can join max in 30-45 days Please check if candidates have worked on: Risk Strategy- Acquisition Strategy/Underwriting/Pricing Profitability/Portfolio Mgmt., Test Scenarios SQL-8/10 Tableau-7/10 Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL Design and analyze income, employment, fraud verification strategies Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function Utilize application, bank and bureau information to derive business insights KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau Revamp pricing strategy changes and launch A/B test to monitor impact and performance of the change Set up the process to run eligibility conditions for marketing campaigns such as cross – sell, etc.

Job Summary: We are looking for an Analytics Professional (48 years) with strong expertise in Credit Risk Strategy and Banking Analytics . The role combines credit risk policy analytics, portfolio strategy, and advanced data analytics to drive smarter decision-making in unsecured lending portfolios (Credit Cards, BNPL, POS Lending). The ideal candidate is hands-on with SQL and Python and has experience in credit risk analytics, policy development, portfolio tracking, and advanced data insights . This role requires working with senior stakeholders to influence risk strategy, optimize acquisition & collections policies, and deliver actionable insights through data. Key Responsibilities: Develop and enhance credit risk strategies for products such as Credit Cards, BNPL, and POS Lending . Conduct portfolio analytics, policy reviews, and performance tracking across acquisition, line management, collections, and fraud risk. Provide data-driven recommendations to optimize risk policies, funnel performance, and post-issuance loan behavior. Analyze large, complex datasets using SQL and Python to identify trends, patterns, and risk drivers. Build and automate dashboards & reports (Power BI / Tableau) to provide actionable insights to risk teams and senior leadership. Support strategic and tactical initiatives for US-based banks’ Risk Teams. Translate analytical findings into business-friendly presentations and risk strategies for technical and non-technical stakeholders. Partner with cross-functional teams in risk management, operations, and policy analytics to deliver impact. Mentor and guide junior analysts, supporting skill development in credit risk and analytics. Required Skills & Qualifications: Experience: 4–8 years in Analytics / Decision Science , preferably in BFSI (Banking & Financial Services). Technical Skills: Strong SQL & Python (mandatory) ; exposure to SAS, PySpark, ML techniques is a plus. Domain Expertise: Credit Risk Strategy, Portfolio Analytics, Policy Development, Risk Concepts (delinquencies, pre-payments, loss curves, collections, acquisition scorecards). Tools: Tableau/Power BI for dashboarding and reporting automation. Business Acumen: Strong understanding of Retail Banking / Lending / Risk Management .

About this role: Wells Fargo is seeking a Risk Analytics Consultant. 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: Teradata experience 2+ years of Risk Analytics, Board & Regulatory Reporting experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2 years of experience SQL, Teradata, and or Hadoop experience. 2 years of experience with BI tools such as Tableau, Alteryx or Power BI applications. 2+ years of experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience researching and resolving data problems and working with technology teams on remediation of data issues. Experience with BI tools such as Tableau or Power BI applications Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives Excellent verbal, written, and interpersonal communication skills Ability to motivate staff to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Experience with hands-on risk reporting and intelligence Ability to develop and maintain data documentation including Governance and Oversight (G&O) artifacts Ability to perform in-depth analytics (both Ad-hoc and structured) and provide reporting or results to both internal and external stakeholders. Experience, understanding, and knowledge of financial exposures such as: Deposits, Direct Credit, Debt and Equity Securities, Derivatives, and SFTs Experience working across Finance, Basel, Counterparty, Market and Credit Risk domains Ability to think creatively to synthesize recommendations for the remediation and reconcilement of reporting data Strong validation and reconciliation competencies, data mining and intellectual curiosity Strong writing skills proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language Strong presentation skills and ability to translate actionable results simplistically Job Expectations: The candidate will be a Risk Analytics Consultant in the Reporting team. This team is responsible for the production of Enterprise risk reporting and the execution of control activities related to report production. The team is also responsible for designing, developing, testing, and documenting activities related to key enterprise risk reports. This role will interface with Domain Risk lines across Wells Fargo, Data Management, Governance, and Innovation team(s); and produce documents that include but are not limited to Business Requirements Documents and existing reporting guides. This role will conduct User Acceptance Testing of reports for technology releases and prepare daily risk report monitoring. The Consultant will also own reporting for new regulations, monitoring new risks for ad-hoc requests, and documentation. An understanding of Data Governance, BCBS 239 reporting principles, and internal Wells Fargo policies and oversight groups including G&O standards and artifacts will assist in maintaining regulatory compliance standards.

Job Summary To provide a clear plan for the product, outlining goals as well as potential risks, challenges and opportunities. Also in charge of developing a strategy to sell a product. Post Graduate/ MBA Finance & Marketing 1. To develop a strategy from inception to completion of a product. 2. Work with the Sales, Credit & Risk teams to develop the product, with marketing team to effectively market the product and outside vendors to distribute and sell your product. 3. To complete financial analysis to model the product s cost and potential margin. 4. In charge of driving different teams and departments to make sure you achieve all of your initial goals. 5. To present your strategy to partners and shareholders. 6. Layout a plan to achieve the objective and mitogate the potential risks and highlight the opportunities. 7. Build network and pitch the product to third-party vendors

Job Summary To provide a clear plan for the product, outlining goals as well as potential risks, challenges and opportunities. Also in charge of developing a strategy to sell a product. Post Graduate/ MBA Finance & Marketing 1. To develop a strategy from inception to completion of a product. 2. Work with the Sales, Credit & Risk teams to develop the product, with marketing team to effectively market the product and outside vendors to distribute and sell your product. 3. To complete financial analysis to model the product s cost and potential margin. 4. In charge of driving different teams and departments to make sure you achieve all of your initial goals. 5. To present your strategy to partners and shareholders. 6. Layout a plan to achieve the objective and mitogate the potential risks and highlight the opportunities. 7. Build network and pitch the product to third-party vendors

Good to have skills : Requirements Analysis Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary Business Analyst is a key person involved in the complete life cycle of software development/ implementation. Since business users are not always available when needed, the business analyst is often the project team member that fills this void, providing the business perspective needed for project success. Business Analyst should design and document workflow and make appropriate recommendations that will positively impact operational effectiveness. Business Analyst will be the functional expert on the specified application(s) he/she will be the sole point of contact between the business unit and Information Technologys Application Development Specialist Roles and responsibilities Identify and define detailed product requirements and use cases Develop detailed business processes, requirements, and functional designs Maintain strong relationships with clients and project leadership Coordinate across multiple teams, subcontractors, and clients Support execution of testing Develop and review test plans and test cases Support development and testing activities across multiple releases Professional & Technical Skills Understand needs & elicit business requirements from client Experience/Knowledge of Insurance domain/processes Hands-on experience of Insurance project Knowledge of SQL, latest developments in technology Exposure to risk analytics and/or regulatory requirements for insurance Work with project leads to understand and define scope and vision Gather requirements independently by driving workshops, storyboards session, user stories discussions Document functional requirements, process flows, test scenarios/cases Understand business needs and prioritization of requirements Analyse requirements for completeness & consistency Work with technical team for implementation & deployment of requirements Provide supports during all phases of SDLC including UAT and Post Deployments

About this role: Wells Fargo is seeking a (Commercial Banking Portfolio Manager). We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Research complex credit investigations and diverse credit information for loans Identify opportunity for process improvements within scope of responsibilities or functional area Review and identify basic operational assignments that require research, evaluation, and selection of alternatives while exercising independent judgement to guide medium risk deliverables Present recommendations for resolving complex situations and exercise independent judgement while developing expertise in the function, policies, procedures, and compliance requirements Collaborate and consult with functional colleagues, internal partners, and stakeholders including internal as well as external customers Required Qualifications: 2+ 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: MBA (FinanceBanking), Cost and Management Accountancy, Chartered Accountancy or post- graduation in Economics. Atleast 2+years of overall commercial credit experience across diversified asset class (includes corporate entities and real estate asset class) Good knowledge on financial statements for various industries with ability to ascertain trends, ratios and call out key risks when compared to benchmarks (historical and industry performance). Well versed with Discounted Cash Flow, Comparable Company, and Precedent Transaction analysis. Working experience with Moodys Risk Analytics would be a plus. Experience in assessing credit worthiness of borrower based on various qualitative and quantitative factors Excellent communication skills, with special focus on business writing skills for credit reports. Ability to read, comprehend and synthesize data regarding borrower performance market related information from multiple sources into one prescribed template. Advanced excel skills would be a plus

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

Key Responsibilities include: Risk & Investment Compliance : Provide comprehensive and high-quality risk measurement, quantitative analysis and reporting: Value-at-Risk, Stress-Testing & Liquidity; Risk modelling of financial instruments in MSCI Risk Metrics; Assist in miscellaneous risk-related tasks: support onboarding stream by mapping model portfolios, data collection for regulatory reports, securitization pre-trade check; Provide support to the Investment Compliance team: exceptions management and investigation, eligibility / transferability analysis. Data Management: Ensure the completeness of portfolios received from Fund Adminstrators; Mapping of unrecognized positions into the database: checking financial instruments and issuers, classification of non standard financial instruments; Perform sanity checks of the database / portfolios loaded, collect and aggregate data, follow up with Fund administrator of pending items. General : Improve efficiency and effectiveness of operating processes; Support junior team members (for the senior profile). Requirements / Qualifications: Education and Knowledge : Bachelor and / or a Master degree in Finance, Engineering, Economics or equivalents; Participating in CFA / FRM programs would be considered an advantage; Sound understanding of risk measurement concepts such as VaR, Sensitivity and Stress testing; Extensive knowledge of financial instruments and their pricing methodology (equities, bonds, derivatives, structured products); Knowledge of MSCI Risk Metrics, Bloomberg or other data providers would be considered an advantage; Knowledge of VBA would be considered an advantage. Working Experience 2/4 years of experience in risk analytics domain; Experience with data quality checks and data manipulation in relation to financial assets. Personal : Ability to work within a team as well as on own initiative ; Strong organizational skills and detail orientation; Ability to conduct complex analysis and present data in a meaningful way; Strong quantitative orientation and analytical skills; Good communication skills, ability to interact with finance professionals; Highly motivated and fast learning individual.

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

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

6+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability to create risk frameworks, use decision trees and come up with right recommendations and insights Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress