42 Lgd Jobs

Demonstrate quantitative skills and well versed with data wrangling methods. Develop, Review, Validation of Basel/Capital model on risk factors PD, LGD, Credit Portfolio) for retail and wholesale portfolios. Documentation aspect of model development is key as are the skills to present this information to peer review and independent review of model governance committees. Manage Basel Modelling, PD, LGD Model Development Develop / validate risk measurement models for credit risk management, incl. models for credit rating and scorecards. Collate, test and check independently sourced economics data (forecast and stress) and assess its robustness and fitness for purpose of model development. Demonstrate Credit Risk Model Development. Ensure adequate documentation and analysis in place for model review committee which involves peer review and independent review committees Prepare effective material for dissemination to key business stakeholders at all levels of seniority and obtain approval by the clients Support ad-hoc requests in support of the business as necessary Ensure timelines around project deliverable are met and all the stake holders are informed about the status of the projects Drive standardization of analysis and processes to gain efficiency If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day. And if you relish the freedom to bring creative, thoughtful solutions to the table, there's no limit to what you can accomplish here. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with a minimum of6+ years of experience in theFinance domain Proven Mathematician/Statisticianor quantitative background with knowledge of economic and econometric models (at least master's degree). Working knowledge SAS / Python and R. Exposure to Basel Modelling, PD, LGD Model Development and Validation, economic capital modelling, from any Competitoror bank / with Risk Management experience in the wholesale and retail area. Proven communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts. Proficient in high customer orientation and conflict management Working knowledge of credit risk or Basel/capital model development Ability to convert business needs into modelling needs

Role & responsibilities Your skills and experience 10+ years experience as Product Owner and Product management in an agile environment 5+ years’ experience working in Financial Services or consultancy, ideally in Risk Domain Strong stakeholder management skills and the ability to communicate at all levels of seniority with proven experience in successfully driving roadmaps and delivery of large-scale Regulatory, Risk, Data or Transformation Programs Experience working in Technology or Change for the large Investment Banks dealing with Banking Products, Data and Systems. Proven experience and evidencing prioritization techniques, refinement, grooming and challenges with the Backlog management. Knowledge and experience of Risk or Finance domain. Good to have experience in any phase of Credit Risk Lifecycle such as Limit Management, Rating Methodologies, Monitoring, Reporting, Recovery Management. Exposure to Credit Risk Measures such as PD, LGD, EAD, EL, RWA etc and their underlying calculations / methodology Additional advantage would be knowledge of Pricing/Valuations across multiple asset classes including Traded Derivatives, Banking Book Securitization etc and prevalent Risk regulations such as BASEL & ECB IRBA guidelines Experience with Agile Testing & Engineering techniques (e.g. BDD) would be a plus Experience in writing simple SQL queries for data analysis would be a plus Good to have knowledge on Data Analytical tools of Tableau, Qlik.

Job Title: Risk and Compliance Manager Management Level: Manager / Consultant Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Experience: 5–12 Years Education: MBA (Finance) from a Tier-1 B-school, or CA/CMA, CFA Certifications (Preferred): FRM, PRM, CFA About the Role Join a Top-Tier Strategy & Consulting Practice , where you will support global clients in building innovative, forward-looking risk management strategies as a Risk and Compliance Manager , where you will support global clients in building innovative, forward-looking risk management strategies. In this role, you will drive consulting projects, partner with deal teams, and help shape the future of risk and compliance across diverse sectors. Key Responsibilities Lead the design and delivery of risk strategy, transformation programs, business cases, and technology solutions in areas such as: Enterprise risk management Portfolio and liquidity risk Market and credit risk modeling Fraud and financial crime risk compliance Advise clients across geographies on risk maturity assessments and regulatory frameworks. Build and manage a pipeline of consulting engagements and business development opportunities. Author thought leadership and whitepapers on emerging risk trends. Collaborate closely with global teams to ensure consistent, high-quality delivery across markets. Contribute to practice development through mentorship, capability building, and knowledge sharing. Must-Have Skills Deep expertise in risk modeling , with hands-on experience in PD, LGD, EAD methodologies. Demonstrated experience in designing and executing credit, market, or liquidity risk frameworks. Proven ability to lead consulting projects or internal risk transformation programs. Strong business acumen with a consultative mindset. Excellent written, verbal, and presentation skills. Familiarity with risk technologies and platforms like Murex, Calypso, SAP HANA, PEGA, JIRA, Bloomberg, etc. Good-to-Have Skills Exposure to areas such as: Credit underwriting frameworks, collections, and counterparty risk FRTB, IBOR transition, stress testing, and capital calculations Risk register development, RCSA, KRI/KCI, fraud analytics Third-party risk consulting and operational risk management Knowledge of regulatory environments in key global markets Experience working with global clients in distributed delivery models Why Join Us Work with G2000 clients on strategic, high-impact projects Collaborate globally with leaders across strategy, tech, and industry Access world-class learning and development opportunities Champion responsible business , inclusion, and equality in everything you do Be part of a culture that supports growth, innovation, and purpose-driven work

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.

SUMMARY Job Role: Credit Risk Business Analyst Location: Pune Experience: 6+ years Must-Have: 6 years of relevant experience in Credit Risk Business Analysis and Risk Analysis. Job Description The Credit Risk Business Analyst is responsible for evaluating, monitoring, and reporting on counterparty credit risk exposure within trading activities. This role involves close collaboration with traders, risk managers, and other stakeholders to ensure effective risk measurement and management in alignment with regulatory requirements and internal risk tolerance. Key Responsibilities Counterparty Credit Risk (CCR) Assessment & Monitoring: Evaluate and monitor counterparty credit risk exposure for derivatives, securities financing transactions (SFTs), and other trading activities. Utilize methodologies such as the Standardized Approach for Counterparty Credit Risk (SA-CCR) and Potential Future Exposure (PFE) to quantify risk. Assess counterparty financials, credit ratings, and market behavior to gauge default risk. Conduct stress testing and scenario analysis to evaluate potential adverse impacts on counterparty risk exposure. Assist in establishing and monitoring counterparty risk limits, ensuring adherence to internal risk policies. Collaborate with market risk teams to assess the impact of market movements (e.g., interest rates, FX rates, volatility) on counterparty exposure. Identify and monitor exposure concentration risks across products, counterparties, and sectors. Support pre-trade risk analysis by evaluating potential counterparty risk for new transactions and trading strategies. Ensure compliance with Basel III/IV, SA-CCR, and other relevant counterparty risk regulations. Prepare risk reports for internal stakeholders and regulators, offering clear insights into counterparty risk profiles. Support regulatory capital calculations and reporting, ensuring accurate assessment of risk-weighted assets (RWA). Requirements Requirements: 6+ years of experience in Credit Risk Business Analysis and Risk Analysis Knowledge of methodologies such as SA-CCR and PFE Familiarity with Basel III/IV regulations and other relevant counterparty risk regulations

We are looking for a highly skilled and experienced Field Risk Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-5 years of experience in the BFSI industry. Roles and Responsibility Conduct risk assessments and evaluations to identify potential threats to the organization. Develop and implement strategies to mitigate risks and ensure compliance with regulatory requirements. Collaborate with cross-functional teams to monitor and manage risk exposure. Analyze market trends and competitor activity to inform risk management decisions. Provide expert guidance on risk management best practices to stakeholders. Identify and report on key performance indicators (KPIs) related to risk management. Job Requirements Strong understanding of risk management principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment and prioritize multiple tasks. Strong communication and interpersonal skills. Experience working with financial institutions or similar organizations. Knowledge of relevant regulations and standards, such as Basel II or CCAR/CECL. Additional Info The company offers a competitive salary and benefits package.

SUMMARY Job Role: Credit Risk Business Analyst Location: Pune Experience: 6+ years Must-Have: 6 years of relevant experience in Credit Risk Business Analysis and Risk Analysis. Job Description The Credit Risk Business Analyst is responsible for evaluating, monitoring, and reporting on counterparty credit risk exposure within trading activities. This role involves close collaboration with traders, risk managers, and other stakeholders to ensure effective risk measurement and management in alignment with regulatory requirements and internal risk tolerance. Key Responsibilities Counterparty Credit Risk (CCR) Assessment & Monitoring: Evaluate and monitor counterparty credit risk exposure for derivatives, securities financing transactions (SFTs), and other trading activities. Utilize methodologies such as the Standardized Approach for Counterparty Credit Risk (SA-CCR) and Potential Future Exposure (PFE) to quantify risk. Assess counterparty financials, credit ratings, and market behavior to gauge default risk. Conduct stress testing and scenario analysis to evaluate potential adverse impacts on counterparty risk exposure. Assist in establishing and monitoring counterparty risk limits, ensuring adherence to internal risk policies. Collaborate with market risk teams to assess the impact of market movements (e.g., interest rates, FX rates, volatility) on counterparty exposure. Identify and monitor exposure concentration risks across products, counterparties, and sectors. Support pre-trade risk analysis by evaluating potential counterparty risk for new transactions and trading strategies. Ensure compliance with Basel III/IV, SA-CCR, and other relevant counterparty risk regulations. Prepare risk reports for internal stakeholders and regulators, offering clear insights into counterparty risk profiles. Support regulatory capital calculations and reporting, ensuring accurate assessment of risk-weighted assets (RWA). Requirements Requirements: 6+ years of experience in Credit Risk Business Analysis and Risk Analysis Knowledge of methodologies such as SA-CCR and PFE Familiarity with Basel III/IV regulations and other relevant counterparty risk regulations

Job Description: Understanding of Basel Framework, PD, EAD, LGD and Regulatory Capital. Proficiency in SAS and Python for Model Development Good Understanding of Regulations and has experience of IRB Model Development Good understanding of retail credit risk products and their key variables.

Please Note: ========== One of our Gulf client is looking for Credit Risk Analyst in their financial department. Spectrum Consulting is acting as Recruitment Services company for this position. You can email your CV directly to: spectrumconsulting1977@gmail.com ========== Job Title: Credit Risk Analyst Onsite Job Location: Dubai - UAE Doha - Qatar Riyadh - Saudi Arabia Onsite Monthly Salary: 15k to 20k AED [ Depending on Experience ] , Full Tax free Salary Gulf Work permit & visa will be sponsored by the company Offshore Job Location: Mumbai Bangalore Hyderabad Offshore India Annual CTC: INR. 15 LPA to 40 LPA (Depending on Experience) No. of positions: 03 Project Duration: 24 Months Experience Needed: 10 - 20 Years Job Description: We are looking for an experienced Credit Risk Analyst with BASEL / IFRS9 / CCAR Skills Job Responsibilities As a credit risk analyst, you should be: Expert in 1 or more of the following: - Credit Risk Modelling with: - BASEL - IFRS9 - CCAR - Structural Models - Strong knowledge of credit risk measures, PFE, xVA, compliance rules, and collateral management. - Experience with Basel 2, Basel 2.5, Basel 3, SA-CCR, SIMM, FRTB-xVA. - Able to do credit evaluations of counter parties for financial/non-financial institutions - Carry out financial qualification of service providers for new assignments and new projects - Conduct in-depth analysis of financial statements and employ the company internal credit model to derive credit ratings. - Ensure new business transactions and related risks are appropriately defined, captured, and managed, by the Company's risk methodologies and systems. - Maintain approved credit limits and ratings in credit database. - Actively monitor counterparty credit ratings and latest market developments to keep management informed on potential risks. - Perform stress testing on various portfolios in order to identify and mitigate unwanted exposure. - Review policies, procedures, and align risk policies across the Group - Assist in the consolidation and preparation of reports for top management Nice to have: - Experience with Murex (MLC), Markit, Calypso, Finastra is added advantage but not mandatory Experience Level: 5 - 20 Years Business Verticals: Banking and Financial Services -- Insurance / Banking Insurance Stock Market / Investment Banking Retail Telecom Healthcare Oil and Gas Travel and Hospitality Supply Chain / Logistics Capital Markets / Stock Markets / Forex Trading Job REF Code: CREDITRISK_0525 You can EMAIL your CV to: spectrumconsulting1977@gmail.com If you are interested, please email your CV as ATTACHMENT & - write about your CREDIT RISK experience as covering note and - explaining your CREDIT RISK experience with job ref. code [ CREDITRISK_0525 ] as subject

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, 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 SAS, 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.

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: SAS, 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 SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Role & responsibilities Preferred candidate profile

Role & responsibilities Managing multiple projects in multiple geographies Handling teams of multiple projects across different areas of analytics, risk management etc. Handling pre sales meetings with clients Keeping track of latest regulatory updates & preparing offering on them Client Handling - Understanding client requirements, problems etc. Preparing presentation and presenting it to Senior Management Liaison with clients for understanding their problems & providing appropriate solution Preparing presentations and other documents as per client requirements Doing independent research to come up with innovative solutions/ideas Provide thought leadership and hands-on experience for ongoing initiatives Train and guide team of consultants Will be responsible of different project ranging from: Part of Center of Excellence” of Credit Risk Modeling IFRS 9 Model Development & Validation Development/Validation of PD (Application & Behavioral Scorecard), LGD and EAD Retail Models Developing/Validation Rating Models for Corporate banking portfolios Stress Testing Models Develop/validate models like Collection, Propensity, Maturity, Pricing, etc. Advanced Analytics Solution (Machine Learning, Digital Lending etc.) Development of acquisition fraud scorecard Loss Forecasting Developing/Validating Rating Models for Corporate banking portfolios Developing/Reviewing ICAAP & RAROC Models A

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.

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.

Location: PAN India Immediate joiner required Experienced in end to end capital or Impairment process management RWA calculation engine using Standardized approach (BASEL 1/2/3) for Credit Risk Asset classification for Retail and Wholesale Products, Collateral Adjustment, on balance/ off balance exposure calculation Migration RWA calculation from BASEL 3 to 3.1 using Standardized or AIRB approach Knowledge of Banking domain/ banking products like Retail, corporate, banks, SME, Sovereign Project management / stakeholder management Keywords : Standardized approach - BASEL 1/2/3 Capital Reporting (Standardized approach) RWA Calculation Credit Risk (RWA) capital management

Job Description: Ability to lead the design and delivery of strategy, business case analysis, transformation programs, technology enablement, with respect to enterprise risk, portfolio management, capability maturity assessments, and fraud & financial crime risk compliance programs Ability to build sales pipeline through business development and proposals Strong business acumen and knowledge of risk management process Ability to solve complex business problems and deliver client delight Strong writing skills to build point of views on current industry trends Good analytical and problem-solving skills with an aptitude to learn quickly Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic consulting environment Required Experience: Hands-on experience in VaR/SVaR/IRC/CRM calculations for variety of financial instruments across Currencies, Credit, Commodities and Rates; In-depth understanding of new/evolving regulations in the Market Risk management space including treatment of off-balance sheet exposures, proprietary trading, systemic risk, stress testing, capital calculations, reporting standards etc. Treasury experiences in areas such as Asset Liability Management, Fund Transfer Pricing, and Interest Rate Risk in Banking Book. Hands-on experience in developing risk registers, conducting RCSAs, defining KRIs for risk management and control indicators, Risk Scenario Library & Analysis Experience in managing financial crime and compliance with a focus on fraud risk management, compliance analytics, enterprise risk management (financial services and non-financial services), data analysis & aggregation, trade surveillance, robotic process automation Enterprise Risk Management experience Strong understanding of risk regulatory framework of one more of the major economies across globe

Min exp 3 years in pd. lgd MODELS. IFRS9/ IRB model validation/ development/monitoring exp mandatory Package upto 55 lpa Depends on exp Required Candidate profile Bangalore/Noida location Please send cv's on supreetbakshi@imaginators.co or Call on 7042331616 Please send cv's on email only

Role Summary: Construction of modelling and monitoring bases and data quality management for regulatory credit risk (PD, LGD and EAD) and provisio:n (IFRS9) models. Role Description Apply data wrangling and credit risk domain expertise in creation of modelling and monitoring databases and evaluating the quality of the same. Manage intermediate level case studies and challenges on around data collection, wrangling and data quality with minimal supervision. Perform root-cause analysis and resolve any team hurdles around data quality issues. Identify, develop and implement process and project enhancements. Know upstream and downstream processes of modelling data creation. Lead process governance meetings with stakeholders - modelling and IT teams. Represent and contribute to internal forums, and innovation. Profile Required: Understanding of Design and Development of Data Analytics. Good experience on SQL Queries and sound programming knowledge in analytical tools like SAS, Python, PySpark. Good to have awareness of Big Data and cloud based BI stack, emerging BI trend. Understanding of designing, defining and documenting solution architecture. Ability in gathering client requirements and work through specifications and develop solutions where appropriate in line with project documentation. Working within time guideline. Knowledge of credit risk modelling such as PD, LGD , CCF and IFRS9. Specific Context Client Focus, Team Sprit, Commitment, Responsibility, Ownership, and Innovation Environment At Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether youre joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Groups ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

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.

Roles and Responsibilities Develop credit risk or fraud risk models using Python, 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 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

Role Competencies - Experienced in development of credit risk models for BASEL reporting, PD, LGD, EAD and/ stress testing or should be well versed with understanding of these concepts Skilled in development of internal and external risk models by computing standard metrics Skilled in developing and analyzing product-specific solutions within banking domain varying across underwriting/monitoring loan portfolios, developing collections scorecards, loss forecasting amongst others Ability to work with key stakeholders across businesses, client portfolio teams to derive insights and calibrate model performance Ability to present the findings of the analysis to stakeholders and hold presentations for a larger audience Ability to drive discussions with the stakeholders and present the findings / summary of the project activities

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.