604 Risk Analytics Jobs - Page 3

Responsible for PPNR model development for Non-Interest Income, Net Interest Income, Expense, Deposit, Balance models. Ensures regular production of analytical work. Development of CCAR models (PD/EAD/LGD) , CECL models (PD/EAD/LGD) and Basel models (PD/EAD/LGD). Collaborates with regulators, Audit Services, and other independent reviewers. Evaluates existing framework in relation to corporate objectives and industry leading practices. Assesses development needs and manages process to achieve desired future state. Supports stress testing, capital quantification and/or internal capital allocation methodologies. Ensures that modelling approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance. Provides technical/theoretical inputs to resolve risk issues and enhance overall risk framework. Works with other risk or business unit teams to ensure that risk management policies/processes and quantitative modelling approaches are consistent. Provides communication and training efforts to promote understanding of risk measurement throughout the company Operates independently; has knowledge of banking balance sheets and income statements. Conducts analysis, independently ensuring accuracy and completeness. Responsible for interaction with different committees and/or senior management. Strategic in developing, implementing and administering programs within Risk Management for specific product(s). Qualification: Master in Statistics/ Economics/Mathematics/advanced degree in quant area Or B.tech. From tier 1 college with MBA in related field Skills Required: Strong BASEL, CCAR and DFAST, FRY-14A, SR-11/7 understanding. Strong regulatory understanding 3+ years of hands on model building experience Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques including familiarity with statistical concepts used in stress testing Strong in quantitative skills experience in model validation a plus Experience in R, SAS, Matlab , advanced Excel techniques and VBA programming. SAS is preferred Strong Experience in building linear regression models, Nonlinear regression, time series modeling (ARIMA, AR, VAR, MA ) and stochastic process Strong organizational and interpersonal skills Excellent verbal and written communication skills (English) Experience of working in a multi-cultural and global environment Related Industry qualification (e.g., CFA, FRM) a plus Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We d love to learn more about how your interests and experience could be a fit with one of the world s most admired and sustainable companies!

Commodity Risk Management sits at the intersection of trading, risk and data ensuring accurate, timely and insightful risk reporting. In this role you work closely with commercial, risk managers and operations in a dynamic environment to make an impact to assure integrity of data, monitor and report risk to support decision making. Bachelor s degree in Computer Science, Data Science or other relevant field preferably with 2-5 years relevant professional experience Work closely with the regional CRM and Commercial teams to develop and maintain risk reports/dashboards driving transparency on commodity risks while seizing opportunities to standardize. Assist in daily position validation in close coordination with regional teams and commercial. Support the implementation and maintenance of data architecture and pipelines integrating data from on-premises systems and APIs. Contribute to efforts to further enhance the position reporting regarding technical set-up, processes and procedures. Assist with the daily operations and resolution of issues related to risk analytics reporting. Support responsibilities for Financial Regulations EMEA in terms of reconciliation and reporting. Your Profile: Engaged and team-oriented pragmatist with a proactive, goal-oriented work attitude. Good communication skills combined with an analytical mindset. Open mindset for change and aptitude for continuous improvement. Proficient in Power BI (incl. DAX) for dashboarding and reporting and experienced in programming with SQL and Python for data transformation and risk analytics. Hands-on experience with data engineering concepts, including: Data pipelines (ETL/ELT) Data integration across systems Working with cloud data platforms Solid knowledge of or interest in commodity trading business.

About the Role Are you interested in building innovative technology that transforms the financial marketsDo you enjoy working at the speed of a startup, solving some of the world s most exciting challengesDo you want to collaborate with hands-on leaders in technology and financeIf so, BlackRocks Associate - Quality Engineering role might be the perfect opportunity for you This role presents an outstanding opportunity to work on BlackRocks investment operating system, Aladdin or equivalent experience Aladdins advanced risk analytics and comprehensive portfolio management tools empower informed decision-making and establish a connective tissue for thousands of users investing worldwide Joining the Aladdin Engineering group puts you at the forefront of developing next-generation technology that intersects information, people, and technology globally Key Responsibilities Become a Subject Matter Expert on applications and own Quality attestations for sign-off on production releases Be responsible for functional, non-functional, and regression testing activities of a project Craft and develop comprehensive test scenarios based on functional and non-functional requirements Apply expertise in C#/Java, Selenium, or other test frameworks to craft, develop, and maintain automated test suites Identify, document, and track defects in a clear and concise manner Follow the Agile model to track and manage sprint tasks using Azure DevOps, which includes sprint planning, execution, and retrospectives Analyze production incidents to identify action items for QA and Dev teams to drive production stability Provide feedback to improve product quality and contribute to the improvement of testing processes Effectively communicate testing metrics, progress, schedules, and issues impacting delivery Fix application, environment, or data issues Qualifications BE or equivalent experience / BTech or equivalent experience / MCA degree or equivalent experience in Computer Science, Engineering, or a related subject area 4-8 years of proven experience in QA roles, preferably within the financial services industry Skills and Experience Experience in senior QA roles within the financial services industry, ideally in asset management or a related field Deep understanding of investment management processes, risk management methodologies, regulatory compliance requirements, or investment accounting skills Hands-on coding experience in C#/Java Strong knowledge of test automation frameworks, tools, and scripting languages Outstanding analytical and problem-solving skills to identify and address complex issues Proven track record of successfully leading and implementing QA programs that drive continuous improvement Proficient in software quality assurance and engineering processes, methodologies, and effective approaches Familiar with Agile software development methodologies Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across teams with varied strengths Good foundation in RDBMS, SQL, and application infrastructure technologies, performance testing tools methodologies (JMeter or other), and API testing for handling complex distributed systems Self-motivated, with a strong desire to address challenges and work closely with all levels across teams to efficiently implement solutions Nice to Have Experience working in an Agile Development Team Familiarity with AZURE DevOps, CI/CD integration, and associated tools and processes (Jenkins, Maven, SonarQube) Knowledge of AI and Machine Learning (ChatGPT or GitHub Copilot) Experience with Specflow/ Cucumber and BDD Experience with API testing (Postman, Soap UI) This mission would not be possible without our smartest investment the one we make in our employees It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: wwwlinkedincom / company / blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law

About The Role This is a Public document. About The Role 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 MCC"™s 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 MID"™s, initiating blocking of credit card accounts and credit limit reduction. Using FICO® Falcon® Fraud ManagerYou would likely be using FICO"™s 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 organization"™s 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

Business Head Seller Loan (Fintech) Job Description: About IndiaMART IndiaMART is India s largest online B2B marketplace, connecting buyers with suppliers. With a 60% market share of the online B2B Classified space in India, the channel focuses on providing a 360-degree solution to Small Medium Enterprises (SMEs), Large Enterprises as well as individuals. Founded in 1999, the company s mission is to make doing business easy and is trusted with 138 mn+ buyers, 67 mn+ sellers, and has 76 mn+ products services on its platform leading to 50 mn+ business enquiries every month. Product: Product Description: Secured Loans Marketplace Unsecured Working Capital Loans: Short-term business loans for operational expenses, purchase of raw material, payroll, or marketing offered without collateral. Secured Loans (Optional): Higher ticket loans with relaxed underwriting norms, secured by property, machinery, or other business assets. Flexible Loan Amounts Tenures: Ranging from 1 lakh to 50 lakh+ based on seller profile and creditworthiness. Lender Marketplace Model: Multiple partner NBFCs and banks integrated via API or assisted lead models, giving sellers competitive credit choices. Data-Driven Underwriting: Leverages seller performance data (order volume, quote response, ratings) and bureau data to power custom eligibility engines. This product aims to enhance seller liquidity, improve fulfillment rates, and drive higher retention and growth on the platform, while building a scalable new revenue stream for IndiaMART. Experience Range: 8 - 15 years Educational Qualifications: B.Tech/B.E ,and MBA/PGDM Job Responsibilities: Key Responsibilities: Product Strategy Roadmap: Define and own the end-to-end strategy for this marketplace, from ideation through scale-up, aligned to marketplace growth targets. Lender Partner Management: Establish and nurture relationships with banks, NBFCs, and fintech lenders; negotiate commercial terms, SLAs, and co-branding agreements . Go-to-Market Growth: Design acquisition and distribution strategies including co-branded campaigns, outbound lead gen, and channel partnerships to drive loan volumes and market share . Underwriting Risk Framework: Collaborate with credit risk, analytics, and technology teams to develop bespoke underwriting policies for these products; continuously monitor portfolio performance and implement corrective actions . PL Ownership: Manage all financial levers interest margins, fee structures, credit costs to deliver profitability and scale; prepare periodic financial reviews for senior leadership . Technology Operations: Partner with product, engineering, and operations teams to build seamless loan application flows, integrate lender APIs, and ensure compliance with KYC, AML, and regulatory requirements . Stakeholder Coordination: Liaise with legal, compliance, finance, customer-facing teams, and external auditors to finalize SLAs, draft agreements, and maintain governance standards . Manage communication, sales channel to drive business volumes Responsible for market landscape, process, partners, business model, partners, tech journey etc Liaising with lending partners ensuring smooth flow of operations, policies and expectation setting Develop and maintain reporting application systems and coordinate information exchange with all stakeholders Skills Required: Lending Partner Management , PnL , MSME Loans , Market Segmentation , Product Management , Business Strategy , Seller Financing Candidate Attributes: Skill Set: 7-12 years of experience in digital lending, fintech product management, or NBFC/BANK credit roles, preferably with a focus on SME or these secured loan verticals Should have understanding of market segmentation and lender wise offerings in various products including capital goods buyers and lender product offerings (relevant tot these products) Proven track record in lender PL creation, partner revenue-share negotiation, and scaling co- lending or referral businesses Strong analytical skills with hands-on experience in underwriting policy design, credit scoring models, and portfolio risk management. Excellent stakeholder management and negotiation skills; ability to influence cross-functional teams and external partners. MBA from a Tier-1 institute or equivalent; background in finance or strategy preferred. Job Code: KL-W5ZKWZES

Business Head Secured Loan (Fintech) Job Description: About IndiaMART IndiaMART is India s largest online B2B marketplace, connecting buyers with suppliers. With a 60% market share of the online B2B Classified space in India, the channel focuses on providing a 360-degree solution to Small Medium Enterprises (SMEs), Large Enterprises as well as individuals. Founded in 1999, the company s mission is to make doing business easy and is trusted with 138 mn+ buyers, 67 mn+ sellers, and has 76 mn+ products services on its platform leading to 50 mn+ business enquiries every month. Product: Product Description: Secured Loans Marketplace A significant proportion of IndiaMART s SME buyers require financing solutions secured against assets to fund their procurement, growth, or working capital needs. The Secured Loans Marketplace aims to address this by offering a diverse suite of asset-backed financial products via partnerships with banks, NBFCs, and fintech lenders. Product Suite Includes: Loan Against Property (LAP): Secured loans offered against residential, commercial, or industrial property to finance business expansion or operational needs. Gold Loans: Short-term, high-speed loans secured against pledged gold, catering to urgent liquidity requirements. Auto Loans (Commercial Vehicles Equipment): Financing for new or used commercial vehicles, machinery, or industrial equipment to power SME operations. Loan Against Securities (LAS): Loans offered by pledging mutual funds, shares, bonds, or other marketable securities enabling liquidity without liquidation. Loan Against Fixed Deposit (FD): Overdrafts or term loans secured against fixed deposits, offering low-interest funding for working capital. Cards Against FD: Prepaid or credit card limits backed by fixed deposits ideal for SMEs without formal credit history. This digital-first marketplace integrates these offerings into IndiaMART s buyer experience and provides curated options tailored to MSME profiles, purchase behavior, and asset ownership. Experience Range: 8 - 12 years Educational Qualifications: B.Tech/B.E ,and MBA/PGDM Job Responsibilities: Key Responsibilities: Product Strategy Roadmap: Define and own the end-to-end strategy for this marketplace, from ideation through scale-up, aligned to marketplace growth targets. Lender Partner Management: Establish and nurture relationships with banks, NBFCs, and fintech lenders; negotiate commercial terms, SLAs, and co-branding agreements . Go-to-Market Growth: Design acquisition and distribution strategies including co-branded campaigns, outbound lead gen, and channel partnerships to drive loan volumes and market share . Underwriting Risk Framework: Collaborate with credit risk, analytics, and technology teams to develop bespoke underwriting policies for these products; continuously monitor portfolio performance and implement corrective actions . PL Ownership: Manage all financial levers interest margins, fee structures, credit costs to deliver profitability and scale; prepare periodic financial reviews for senior leadership . Technology Operations: Partner with product, engineering, and operations teams to build seamless loan application flows, integrate lender APIs, and ensure compliance with KYC, AML, and regulatory requirements . Stakeholder Coordination: Liaise with legal, compliance, finance, customer-facing teams, and external auditors to finalize SLAs, draft agreements, and maintain governance standards . Manage communication, sales channel to drive business volumes Responsible for market landscape, process, partners, business model, partners, tech journey etc Liaising with lending partners ensuring smooth flow of operations, policies and expectation setting Develop and maintain reporting application systems and coordinate information exchange with all stakeholders Skills Required: Lending Partner Management , PnL , MSME Loans , Market Segmentation , Product Management , Business Loans Candidate Attributes: Skill Set 7-12 years of experience in digital lending, fintech product management, or NBFC/BANK credit roles, preferably with a focus on SME or these secured loan verticals Should have understanding of market segmentation and lender wise offerings in various products including capital goods buyers and lender product offerings (relevant tot these products) Proven track record in lender PL creation, partner revenue-share negotiation, and scaling co- lending or referral businesses Strong analytical skills with hands-on experience in underwriting policy design, credit scoring models, and portfolio risk management. Excellent stakeholder management and negotiation skills; ability to influence cross-functional teams and external partners. MBA from a Tier-1 institute or equivalent; background in finance or strategy preferred. Job Code: KL-Z6MM3ADG

We are seeking a highly skilled and motivated Senior Analyst to join our Investment Analytics team. The ideal candidate will have 4 6 years of experience in financial analytics, with strong proficiency in Python, Power BI, and SQL. This role involves working closely with investment strategists, portfolio managers, and data engineers to deliver actionable insights and support data-driven decision-making across the bank s investment portfolios. Key Responsibilities: Develop and maintain analytical models to support investment decision-making and portfolio optimization. Design and automate dashboards and reports using Power BI to visualize key investment metrics and trends. Write efficient SQL queries to extract, transform, and analyze large datasets from multiple sources. Use Python for advanced analytics, including statistical modeling, forecasting, and scenario analysis. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Monitor market trends, macroeconomic indicators, and portfolio performance to identify risks and opportunities. Ensure data integrity, accuracy, and consistency across all analytics outputs. Present findings and recommendations to senior stakeholders in a clear and compelling manner. Required Skills & Qualifications: Bachelor s or Master s degree in Finance, Economics, Statistics, Computer Science, or a related field. 4 6 years of experience in investment analytics, financial modeling, or data analysis within the banking or financial services industry. Strong hands-on experience with Python , Power BI , and SQL . Solid understanding of investment products, portfolio theory, and financial markets. Experience with data visualization, storytelling with data, and executive-level reporting. Excellent problem-solving skills and attention to detail. Strong communication and stakeholder management skills. Preferred Qualifications: Experience with cloud platforms (e.g., Azure, AWS) and data pipelines. Knowledge of machine learning techniques and their application in finance. Familiarity with regulatory requirements and risk analytics. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if youre talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S Presidents Office Job Family Group Business Support & Operations

Project description The role sits in the Trade Management team focusing on the build out of the in-house strategic cross asset risk platformSABRE which is the bank's strategic platform for trade processing, valuation and market. It consists in designing and delivering solutions to the users of this platform with an initial focus onboarding new products, driving enhancement solutions, planning project timelines and working with multiple stakeholders such as users and developers to achieve desired outcome. As the main focus of the role is on the Trade Data Store (TDS2), experience in trade booking, lifecycling and how a trade prices using static or market data is preferable. This would also require basic understanding of the financial products booked in the trades, with emphasis on FX (swaps, forwards, NDFs, etc) and IR products (eg. Repo and bonds). The role will be required to provide third-level business support for issues in trade replication, and also project enhancements for Front Office traders' requirements. Responsibilities ?? Experience of driving agile delivery process in Scrum Master role, product ownership experience useful too. ?? Pro-actively engage, manage and build strong relationships with both business and technology stakeholders. ?? Taking ownership of technology deliveries from high level requirement through development, testing and deployment. ?? Provide on-going support to the technology teams as required e.g. authoring / reviewing test cases, closing out open issues / questions, managing change request process, maintaining high quality UAT plans, Issue Trackers promoting visibility within the team and to wider program stakeholders. ?? Identify risks and issues early, plan mitigating steps and communicate these to stakeholders in a timely manner ?? Understand business requirements for front office platform design and translate into quality technology solutions. Skills Must have 8-12 years' experience with business analysis, solution design and end-to-end delivery in the Financial Markets industry Strong knowledge of derivatives across asset classes Rates/Commodities/FX encompassing product knowledge, pricing, risk analytics and trade life cycle Some technical background in analyzing or reviewing code changes would be preferable Strong problem solving and analytical skills. Knowledge and experience of Agile development practices Ability to work proactively, independently and displays strong initiative. Meticulous and upkeep documentation of project artifacts, discussions, risks, functional specifications Strong communication and presentation skills with an excellent standard of English are a must. Nice to have ?? Certifications such as Scrum Master, Product Owner or PMP a plus. ?? Knowledge and previous experience of large-scale financial markets technology platforms a plus. Location - Pune,Mumbai,Chennai,Banagalore

KEY RESPONSIBILITIES: • Support complicated invoice generation by analysing the large underlying data • Set up one time query/ framework for auto revenue computation using agreed SOPs with the Customer • Assist in validation of customer claim by designing various data scenarios • Make revenue leak proof by building Data analytics scenarios to be tested at defined frequency Functional Skills - 1. Proficient in Microsoft Excel and SQL. Knowledge of Python will be a plus 2. Good Acumen in Analytic and Logical skills Experience - 1. Experience in handling big data 2. Extensive experience in a fast-paced environment having handled scale & complexity would be ideal to succeed in this role 3. Basic understanding of financial transactions

Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including: Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application.

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

The Model/Analysis/Validation Intermediate Analyst role is a developing professional position where you deal with most problems independently and have the latitude to solve complex issues. You integrate in-depth specialty knowledge with a solid understanding of RRP industry standards and practices. It is essential to have a good understanding of how your team and area integrate with others to achieve subfunction/job family objectives. Your role involves applying analytical thinking and utilizing data analysis tools and methodologies. Attention to detail is crucial when making judgments and recommendations based on factual information. You will typically handle variable issues with potential broader business impact, exercising professional judgment when interpreting data and results. Communication skills are vital, and the ability to break down information systematically is key. Developed communication and diplomacy skills are necessary to exchange potentially complex/sensitive information effectively. Your responsibilities will include developing, enhancing, and validating risk measurement and analysis methods for various risk types, such as market, credit, and operational risks. You may also work on developing, validating, and strategizing the use of RRP models. Supporting the design, development, delivery, and maintenance of best-in-class Risk programs, policies, and practices for Risk Management is an important aspect of the role. You will review analytics, models, and other documents to ensure compliance with regulatory and legal requirements, identifying potential risks and escalating them for further review. Additionally, you will handle preliminary investigations, assist with reconciliation procedures, prepare routine correspondence, create and maintain reports for control, tracking, and analysis purposes, and ensure appropriate retention of documents. Collaboration with senior staff in investigating and responding to customer and operational complaints, and interaction with other areas within Risk Management when necessary, are also part of your role. It is crucial to appropriately assess risk in business decisions, giving particular consideration to the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, adhering to policy, applying sound ethical judgment, and managing and reporting control issues transparently. Qualifications: - 5-7 years of experience - Proficiency in Microsoft Office with an emphasis on MS Excel - Demonstrated clear and concise written and verbal communication skills - Self-motivated and detail-oriented - Project management and organizational skills with the capability to handle multiple projects simultaneously Education: - Master's degree or equivalent experience This is a full-time position in the Risk Management job family group, specifically focusing on Risk Analytics, Modeling, and Validation. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. You can also view Citi's EEO Policy Statement and the Know Your Rights poster. ,

About this role: Wells Fargo is seeking a Lead Risk Analytics Consultant In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Understanding of risk management practices, extensive knowledge of financial data Demonstrated proficient SQL experience. Demonstrated experience leading projects. Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Strong communication, interpersonal and leadership abilities. Job Expectations: Master's/Bachelor's degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. Relevant years of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. Relevant years of Risk experience. Relevant years of experience in Data Quality/Data Defects/Data Governance Relevant years of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders. Posting End Date: 10 Sep 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About this role: Wells Fargo is seeking a Senior Risk Analytics consultant In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: A credit risk management analyst with at least 5 years of BI/BA responsibility within commercial/consumer lending Advanced degree in Statistics/Finance/Engineering/other quantitative disciplines Understanding of bank regulatory data sets and other industry data sources Proficiency in Advanced SAS,SAS macros and SQL Python Tableau or BI/automation tools Havinggoodworking knowledge in Unix environment and knowledge of handling data in Teradata/SQL Demonstrated excellence at developing sound credit processes and enhancing existing processes Job Expectations: Master's/Bachelor's degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. 3 years of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. 3 years of Risk experience. 3 years of experience in Data Quality/Data Defects/Data Governance 3 years of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders. Posting End Date: 10 Sep 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Skill required: Property & Casualty - Catastrophe Risk Management Designation: CAT Modeling & Analytics Specialist Qualifications: BE Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Cat Risk Analytics team develops technical solutions, applications and tools to support General Insurance business with risk analysis, pricing, portfolio analytics and cat modeling-Develop, maintain and support account pricing/valuation tools and modules-Develop, maintain and support cat modeling for account and portfolio-Develop, maintain and support data for hazard analytics-Develop, maintain and support hazard analytics for natcat and man-made cat risk-Develop, maintain and support portfolio analytics and portfolio modeling tools-Proof-of-concept new ideas (tools and data) quickly for risk analysis, pricing and portfolio analysis-Provide business support by responding to adhoc requests and reports in a timely manner What are we looking for Geo-Spatial Developer/Expert:Strong hands-on experience in Geo-spatial data and technologies, and depth in GIS best practices and principles; Must be able to work independently on technical tasksExpert in ESRI/ArcGIS tool suite - ArcMap/ArcGIS Pro, ArcGIS Server, ESRI/JavaScript, ArcPy (Python)Geo-spatial SQL programming (Oracle Spatial or PostGreSQL) is required.Experience in Python programming is requiredExperience in spatial data processing tool like Safe/FME desktop is required.Demonstrated experience with 3rd party data sources and geo-coding tools is requiredDemonstrated willingness to perform data analysis, and ability to abstract rules for data store and processing. Experience with large data is requiredExperience in Insurance/Reinsurance domain is highly desirable.Able to think independently and creativelyExperience with responding to production business queries and issues in a timely mannerClear and effective communicationStrong attention to detailExcellent time-management skills and multi-tasking under pressureMust be able to balance and adjust to changing organizational prioritiesDrive to solve problems and self-motivated learningMust be able to think outside of the box and have the ability to work in a small, collaborative team environment.Ability to work with global teams in a collaborative modeAbility to deal effectively and courteously with users and colleaguesMust be able to work outside of normal business hours, including evenings, weekends and public holidays, as necessary Roles and Responsibilities: Qualification BE

Hiring: Fraud Analytics Roles for Location: Bengaluru; 5 days WFO - General shift Experience: 3–10 yrs Salary: Level9 14.07L – 22L Level10 11.13L – 15.5L NP: 30Days or Immediate Joiners Send CV: latika.chopra05@gmail.com Call Latika: 9810996899 Required Candidate profile Mandate Requirements: Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection & Prevention Additional: Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle. SQL, Tableau, Python

This website uses cookies to ensure you get the best experience. 4most and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies Credit Risk Consultant - Bengaluru Take on challenging roles in credit risk advisory and work with leading financial institutions Working at 4most We are not your typical consultancy firm; our purpose is to redefine consulting by enabling all our people to flourish and excel. We have over 250 consultants working in credit risk, data, market risk, life insurance and general insurance, across multiple sites London, Leeds, Edinburgh, Dublin, Amsterdam, Dubai and Bengaluru. We value every individual s contribution to the success of the company with colleagues owning a significant share of the business, and we have ambitious plans to grow even further. As experts in our field, we are passionate about what we do and embrace diversity; we ve created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it s the unique value you bring to the community. We want our people to think differently and challenge the status quo. Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Women in Credit Employer of the Year for 2023 and Best Management Consultancy Firm MEA Finance UAE 2022, our awards speak for themselves. We reward teamwork and believe value should be shared with all who contribute. Your future team Credit Risk Consultants at 4most support many clients in the UK, Europe, and the Middle East. We help our clients solve their analytical challenges ranging from portfolio management, decision science and regulatory modelling under IFRS 9 and IRB. We have ambitious growth targets and the team is expanding as demand for our expertise grows. What youll do You will work with other Consultants, project leads and business heads supporting our global clients from Tier 1 banks through to Fintech challenger banks and startups. You will work on tasks with the support from your project or workstream lead and share the results of your work with clients. Developing credit risk models, used for regulatory and business purposes with particular focus on IRB and IFRS9. Validating and challenging these models on areas such as model design, model performance and model implementation. Stress testing exercises, ranging from operational execution to model development and validation. Processing large credit risk datasets and assessing or improving data quality. Integration of ESG across data, models (IRB, IFRS 9, stress testing) and risk processes. Interpretation and implementation of regulatory requirements and supervisory expectations. Remediation of supervisory findings (ECB/DNB). Presenting and discussing results with senior management. Ad-hoc assistance on business development activities, e.g. client events / roundtables, client meetings, workshops, pitching, drafting proposals and creating marketing material. Your background 2-4 years experience in analytics or data science within Financial Services. Experience in Corporate Model Development or Validation. You are experienced with data wrangling and analysing data using Python, SAS, SQL or R. Hands on experience working of Probability of Default (PD) / Loss Given Default (LGD) / Exposure at Default (EAD) / Internal Ratings Based (IRB) / Stress Testing. Knowledge of Credit Risk & Financial Services Regulation such as IFRS 9, IRB, Basel III. You are a strong communicator both verbally and written, with the ability able to break down complex topics into simple solutions and ideas. Knowledge of PRA and EBA regulations advantageous. Experience in Data and Modelling MI / reporting advantageous. Benefits Salary dependant on experience plus: 33 days holiday (including national and public holidays), Discretionary bonus, 50% sponsorship towards relevant courses, Private health insurance, Life Assurance, Employees provident fund. 4most is a global specialist risk analytics consultancy employing about 300 people spread across the UK, UAE, Ireland, India, and the Netherlands. Already working at 4most Let s recruit together and find your next colleague.

This website uses cookies to ensure you get the best experience. 4most and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies Credit Risk Analyst - Bengaluru Take on challenging roles in credit risk advisory and work with leading financial institutions Working at 4most We are not your typical consultancy firm; our purpose is to redefine consulting by enabling all our people to flourish and excel. We have over 250 consultants working in credit risk, data, market risk, life insurance and general insurance, across multiple sites London, Leeds, Edinburgh, Dublin, Amsterdam, Dubai and Bengaluru. We value every individual s contribution to the success of the company with colleagues owning a significant share of the business, and we have ambitious plans to grow even further. As experts in our field, we are passionate about what we do and embrace diversity; we ve created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it s the unique value you bring to the community. We want our people to think differently and challenge the status quo. Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Women in Credit Employer of the Year for 2023 and Best Management Consultancy Firm MEA Finance UAE 2022, our awards speak for themselves. We reward teamwork and believe value should be shared with all who contribute. Role summary A Credit Risk Analyst at 4most is expected to function as a full-time consultant, this includes being placed on projects for external clients and supporting the business by organising and delivering internal work. To bridge the gap to consulting life we ensure that we provide additional training and support. An experienced 4most consultant will lead and oversee each project and manage the day-to-day activity and delivery. Projects vary in content, client, location, and size, this provides our graduates with a dynamic learning environment that can give great exposure to different areas of Credit Risk. Our analysts gain experience and knowledge by working as part of a coordinated and resourceful team and taking part in tailored training. This allows all our consultants to drive their own development. Key Responsibilities Work effectively both on your own and as part of a team and complete project work accurately and to a high standard. Take responsibility for your own deliveries within the scope and deadlines set. Work with areas of the business to identify opportunities for increasing value through the application of analysis and modelling techniques. Present and discuss results with stakeholders and peers. Proactively identify areas for improving team capability and new business. Undertake internal initiatives as required and get involved in other areas of internal 4most processes where possible. Engage in activities to encourage personal development and work on skills and abilities. Ensure all data is managed securely, maintained appropriately, and analysed correctly in line with Data Protection legislation and industry regulation. Work within the company Health and Safety policy. Expectations and Requirements: A Credit Risk Analyst should be: Analytical Our roles require a great deal of problem-solving and so we need to be able to think of solutions given the resources and data that we have. Organised Our purpose is to deliver bespoke solutions to our clients so these should be structured in a clear and methodical way. Flexible Client satisfaction is crucial. We should adapt to our clients needs and this may require a change in our method, implementation or even structure. Decisive A consultant gives expert advice within a technical or professional field and so we must be able to make clear and informed choices. Supportive 4most benefits from having a variety of individuals but we must collaborate effectively to reach our goals, therefore, we expect 4mosters to be inclusive, compassionate, and helpful. Honest We do not always know the answer, but we will find it! We expect consultants to be transparent in their approach and demonstrate integrity. Enthusiastic A strong passion for finding smart and valuable solutions whilst working collaboratively with peers ensures that we can deliver high quality products to our clients. Self-motivated We are always striving to improve and so it is important that you are keen to develop both yourself and 4most alike. Willing to travel on an as needed basis The role will require travel to London for initial training and may require some additional overseas trips. Knowledge and Understanding Required (Competencies) Academic As our solutions require a strong base of analysis, we ask for candidates to apply with a discipline grounded with quantitative aspects and strong statistical content. Experience Our analysts are given responsibility to operate as a consultant and so we try to look for candidates with some relevant work experience. The type of experience we seek is for a minimum of 6 months which demonstrates how you have applied your academic knowledge in a practical environment, such as a placement year or experience in Financial Services being the most desired. Coding Experience The solutions we build will mostly require use of analysis packages and so experience and demonstration of a coding ability is crucial. We look for SAS or SQL, but we acknowledge both R and Python as foundation coding experience too. Analysis Demonstration of manipulating and analysing large datasets with customer information. Strong Communication Skills Communication is key! We will need to interact internally and to external stakeholders both verbally and written so to bring results and recommendations to life. We seek prominent influencing and interpersonal skills. Excellent attention to detail. Interest/Knowledge of the regulatory environment that impacts credit risk activities and our clients. Passionate about the business impact of our solutions, driven by continuous improvement. Benefits Salary dependant on experience plus: 33 days holiday (including national and public holidays), Discretionary bonus, 50% sponsorship towards relevant courses, Private health insurance, Life Assurance, Employees provident fund. 4most is a global specialist risk analytics consultancy employing about 300 people spread across the UK, UAE, Ireland, India, and the Netherlands. Already working at 4most Let s recruit together and find your next colleague.

Role Objective The incumbent would be responsible for, developing applicational/behavioral scorecards, loss models, managing mortgage guarantee portfolio analytics, build reports/dashboards for leadership, help implement enterprise risk management (ERM) controls in the organization Key Responsibilities Develop decisioning models such as application score cards using statistical techniques & supervised learning algorithms Develop models for mortgage guarantee loss assumptions, pricing, loss forecasting and economic capital etc. Responsible for overall portfolio analysis, monitoring and reporting. Track early warning tool risk metrics and concentration limits for portfolio, products, regions, lenders and other key risk drivers. Help implement ERM controls in the organization Support reporting function in building monitoring reports for business insights Conduct detailed portfolio analysis including stacked risk factors, vintage study, pricing versus actual performance, and other ad-hoc analysis required. Identify key areas of portfolio concerns and provide recommendations on action plans. Develop economic modeling and stress testing capabilities. Provide scenario, sensitivity analysis, what-if analysis and other analysis as required. Identify and implement appropriate risk tools, key metrics and triggers. Conduct detailed analysis and monitoring of housing markets and regional economies. Track key macro-economic risk drivers. Coordinate closely with Business Development Leader and Operations Leader in all segmentation and product expansion strategies to ensure that risk appetite and standards are being complied Skills Extensive working experience with large, complex data sets including working with cross-sectional and time-series data 3+ years of extensive experience using R/ Python/ SAS and other analytical software in data analysis, modeling, and reporting Strong knowledge and experience with statistical modeling and/or scorecard building

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.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SQL, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

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

Process Associate Senior Analyst-Financial Services 3 Years – Pune Location: Pune Take on a high-impact role as a Process Associate – Senior Analyst , driving risk management, access control, and compliance governance . This is your opportunity to strengthen data integrity, enhance controls, and grow your career in a collaborative, improvement-driven environment. Responsibilities Execute access controls, conduct periodic and non-periodic access reviews, and resolve discrepancies. Manage access certifications, document governance, and ensure timely updates and ownership reassignment. Analyse system data, identify trends, and share insights to drive corrective action plans. Perform control testing, root cause analysis, and incident management to strengthen processes. Collaborate with internal stakeholders, auditors, and compliance teams while mentoring junior analysts. Requirements Bachelor’s or Master’s degree with 3–7 years of experience in Risk & Control processes. Strong knowledge of Access Management, Access Control, Risk & Control Self-Assessment (RCSA) . Proficiency in Advanced Excel ; knowledge of Power BI and Python is a plus. Excellent communication, organizational, and problem-solving skills. Ability to multi-task, work independently, and maintain accuracy under strict deadlines. What’s in it for you Opportunity to work in a global risk & control function with exposure to governance and compliance frameworks. Gain expertise in Access Management, Risk Control, and Operational Excellence . Collaborative and professional work culture with continuous learning opportunities. Reach Us- If you think this role matches your career aspirations, kindly share your updated CV at parul.arora@crescendogroup.in for a confidential discussion. Disclaimer- We are committed to building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, religion, gender, age, marital status, disability, or any other protected status. Note- We receive a large number of applications daily. If you do not hear back from us within one week , please consider that your profile has not been shortlisted at this time. We truly value your patience and interest in this opportunity. Keywords- Risk & Control Jobs | Access Management Jobs | Access Control Analyst | RCSA Analyst | Operational Risk Jobs | Governance & Compliance Jobs | Process Associate Jobs | Senior Analyst Jobs | Control Testing Specialist | Data Integrity & Compliance Jobs

As a Risk Strategy Specialist in the credit cards domain, your primary responsibility will be to develop end-to-end risk strategies encompassing acquisition, portfolio management, authorization, and collections. Your role will require you to design risk acquisition strategies for credit cards targeting both open market and existing postpaid customers. Leveraging bureau-based insights and alternate data sources will be crucial for assessing early and potential losses. You will need to conduct early assessments of segment-level loss rates and take prompt actions based on the insights derived. Launching challenger segments and quantifying the expected benefits and losses from these initiatives will be part of your strategic responsibilities. Close collaboration with the Product team will be essential for recommending policy or workflow changes to mitigate risks effectively. Having a detailed understanding of in-house systems and the ability to adapt legacy systems when necessary will be vital for your success in this role. Working closely with cross-functional teams such as Data Science, Product, and Business units is essential for setting up and monitoring underwriting and portfolio strategies. You will also be responsible for taking portfolio actions based on offus behavior triggers from bureau or alternate data sources. Monitoring the effectiveness of implemented strategies continuously to assess business and risk impacts will be a recurring task. You will be expected to promote a self-service culture by leveraging Risk reporting trends and behaviors to enhance reporting and analytics toolsets for maximum utilization. Your role will involve collaborating extensively with teams like Data Science, Product, Technology, and Business to ensure alignment and effectiveness in risk management strategies. The ideal candidate for this position should possess at least 5 years of experience in Risk Analytics or Portfolio Management within the Financial Services/Fintech industry, with a focus on Credit Cards or Unsecured Loans. Skills required for this role include hands-on experience in defining risk strategies, managing portfolios, building risk models and policies, problem-solving abilities, and analytical thinking. Your ability to navigate complex problems systematically while aligning decisions with the organization's values will be crucial for success in this position.,