33 Lgd Jobs

???? We&aposre Hiring: Jr. Business Analyst Credit Risk ???? Locations: Bangalore | Hyderabad | Pune | Gurgaon (Hybrid) ???? Experience: 46 Years ? Notice Period: Immediate Joiners Preferred Are you passionate about regulatory frameworks, risk analytics, and driving business transformation in the financial services sector Join our team as a Jr. Business Analyst (GCB6 level) and play a key role in shaping strategic initiatives across credit risk and capital adequacy domains. ???? About the Role In this role, you will support critical regulatory transformation programs with a focus on CRD V/CRR II (CRDVI) implementations. Youll collaborate closely with stakeholders across business and technology to ensure compliance, accuracy, and strategic alignmentespecially across PD, LGD, EAD, and RWA metrics. ???? Key Responsibilities Define, document, and manage business and regulatory requirements with cross-functional teams. Lead project planning, business analysis, solution design, and end-to-end delivery. Conduct gap analysis, data mapping, and impact assessments for regulatory initiatives. Support stakeholders with change management, communication, training, and readiness activities. Maintain comprehensive documentation for internal governance and external regulators. Represent the function in internal committees, contributing subject-matter expertise and strategic input. ? Must-Have Skills Strong working knowledge of PD, LGD, EAD, RWA and Basel III / CRDVI frameworks. Hands-on experience in regulatory transformation, especially within Wholesale Banking. Proven ability in business analysis, stakeholder engagement, and data/process modelling. Excellent communication and documentation skills for diverse audiences. Experience working with deposit, lending, and guarantee products. Familiarity with delivery frameworks across both business and IT. ???? Preferred Qualifications Certifications such as CBAP, Lean Six Sigma Black Belt, or Change Management. Background in large-scale banking transformation programs. Experience with Agile methodologies and benefits realisation frameworks. ???? If you&aposre ready to make a meaningful impact and grow your career in regulatory risk and banking transformation, apply now or connect with us directly. Show more Show less

Role & responsibilities The role of Auditor involves: Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, rating and other models using statistical, machine learning techniques. Automate audit testing by utilizing a variety of modeling, data analysis, and programming tools. Identifies anomalies, trends, and risks by analyzing large, complex data sets. Ability to evaluate models across multiple functional domains, such as wholesale, retail, fraud, etc. Proficiency with Python/R, SQL Server, SAS, Excel, JIRA, Bitbucket. Opportunity to contribute to one or more areas of audit covering risk function like audit of Credit Risk, Market Risk, Operational Risk, Pillar II, ICAAP, ERM, Fraud Risk as per RBI guidelines. Key Responsibilities Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, and rating models using statistical, machine learning techniques. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Preferred candidate profile A master's degree in Statistics, Mathematics, or related fields. 7 - 12 years of experience in the financial services industry, preferably with model development, validation, model risk audit, data analytics. Understanding of Risk Management processes like Market, Credit , Operational, ALM, Capital adequacy, Fraud is good to have but not essential. Demonstrate good understanding of model risk function. Knowledge of various modelling techniques used in the banking industry. Experienced with various programming languages used in risk modelling. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Coordinating and supporting the Banks compliance team during RBI Audits and other external audits. Good communication (both verbal & written) and inter-personal skills. Ability to work as a part of team and contribute towards team goals.

As a Portfolio Risk - Cards CCAR Model Development Associate within the Portfolio Risk Modeling team, you will have the opportunity to support and develop regulatory models, execute and prepare model surveillance, and provide insights for various regulatory requirements. You will use your expertise in performance assessment methods and metrics for various types of risk models used in portfolio Risk, regulatory modeling, and forecasting methods. You will be responsible for the development of stress test models as part of the annual CCAR/CECL exercise. This role will allow you to utilize your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation. We value intellectual curiosity and a passion for promoting solutions across organizational boundaries. Job Responsibilities: Design, develop, test, and validate statistical models for Cards Unsecured Lending portfolio risk forecast and model performance monitoring Utilizing graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, Survival Hazard Rate Models etc. Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting Process, cleanse, and verify the integrity of data used for analysis Perform deep dive analysis to address ad hoc inquiries Required qualifications, capabilities, and skills MS, Engineering or PhD degree in a quantitative discipline Minimum 6+ years of hands-on work and research experience of advanced analytical skills in the areas of statistical modeling and data mining Proficiency in advanced analytical languages such as SAS, R, Python, PySpark Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata Ability to deliver high-quality results under tight deadlines Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results Preferred qualifications, capabilities, and skills Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred)

Job Title: Credit Risk Modeler/Manager (IRB/Scorecard + Python) Location: Bengaluru (Work From Office) Experience: 3 to 8 Years Domain: Credit Risk, Retail Lending Key Skills: Python, IRB Scorecard Development, Risk Model Validation, Monitoring KPIs, Retail Credit Risk About the Role We are looking for a skilled Credit Risk professional with hands-on experience in IRB/Scorecard modeling and Python programming . The ideal candidate will contribute to the development, validation, and monitoring of credit risk models for retail lending products , ensuring compliance with internal policies and regulatory standards (Basel/IRB). Key Responsibilities Design, develop, and calibrate credit risk scorecards (Application, Behavioral, Collection, and Basel IRB PD/LGD models) using Python and statistical tools. Perform validation and backtesting of risk models as per regulatory and internal standards. Conduct regular model performance monitoring , produce KPI dashboards, and escalate material deviations. Automate risk model monitoring reports and analytics using Python. Document model development, assumptions, and results clearly and effectively. Work closely with Risk, Business, and Compliance teams to ensure model relevance and compliance. Required Skills & Experience Total Python experience : [Add your total years] Proficient in Python for data processing, model development, and automation . Hands-on experience with IRB/Scorecard modeling including Development, Validation, Monitoring, and Calibration . Strong understanding of KPI metrics used in model monitoring, such as: Population Stability Index ( PSI ) KolmogorovSmirnov ( KS ) Gini/ROC Override Analysis Vintage Analysis PD/LGD Backtesting Experience with Credit Risk Scorecards ONLY (non-retail domains like market or operational risk do not apply). Deep understanding of retail lending products like Personal Loans, Credit Cards, Auto Loans, etc. Exposure to Basel norms , IRB frameworks , and regulatory expectations.

Model Development EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning methodologies, that integrate advanced analytics, data management, digital, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 30,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Home EXL Service is a global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others Role Details : We are seeking a strong credit risk model professional with experience in model monitoring, validation, implementation and maintenance of regulatory models. Responsibilities: Helping with various aspects of ML Models (first line or second line) and regulations Perform all required tests (e.g. model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of ML models from Risk background Strong understanding of Machine learning models understanding with respect to marketing/general analytics problems Managing assigned projects in a timely manner, ensuring accuracy and that deliverables are met. Training, coaching and development of team members Qualifications: Previous experience (2+ years) in analytics, preferably in BFSI Good knowledge in General Analytics, Fraud Analytics Past experience in problem solving roles, strategic initiatives Hands on experience python OR SQL is must Hands on work experience in R or any other analytical software would be a plus Good problem-solving skills

Model Validation & Data Quality Specialist (Credit Risk) What Youll Do: Validate SAS-based PD/LGD/EAD models: back-testing, sensitivity, stress-testing Profile and fix data issues via SAS/SQL; track data-quality KPIs Draft concise validation reports and regulator-ready documentation Collaborate with model developers, data stewards, audit & regulators Must Have: 3 - 8 yrs in model validation or credit-risk analytics (bank/consultancy) Expert SAS + strong SQL; Python/R a plus Solid grasp of Basel IRB parameters & MRM frameworks (SR 11-7/RBI) Clear report-writing and stakeholder communication Nice to Have: Data-governance tool experience (Collibra/Informatica) PRMIA or similar model-risk certification Automation via SAS macros or Python If interested, Kindly share your resume on simran.salhotra@portraypeople.com

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.

Model Monitoring/Model Validation EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning methodologies, that integrate advanced analytics, data management, digital, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 30,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Home EXL Service is a global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others Role Details : We are seeking a strong credit risk model professional with experience in model monitoring, validation, implementation and maintenance of regulatory models. Responsibilities: Helping with various aspects of model validation Perform all required tests (e.g. model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of risk model validation/monitoring understanding with respect to marketing/general analytics problems Managing assigned projects in a timely manner, ensuring accuracy and that deliverables are met. Training, coaching and development of team members Qualifications: Previous experience (2+ years) in analytics, preferably in BFSI Good knowledge in General Analytics, Fraud Analytics Past experience in problem solving roles, strategic initiatives Good problem-solving skills

Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

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.

About the Role The candidate should have masters degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modeling software (R’ & SAS) is desired. Key Responsibilities Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and high quality audit execution for critical models in use at the Bank. The internal audit role would include the following as part of the day-to-day job: Audit of model development and validation process within the Bank. Updating risk and control matrix and checklist for audits being undertaken. Undertaking detailed walkthrough of the processes being audited and develop data request for the audit Updating of internal audit MIS with the status of audit observations and other actionable emanating to the audit department Assisting in making presentations to senior management and audit committee on the audits undertaken and performance of internal audits Provide necessary support in automating tests used in audit execution for achieving Continuous Control Monitoring (CCM) Qualifications Optimal qualification for success on the job is: • Knowledge of SR 11-7 guidelines and its implementation for the model governance • Experience in development and validation of statistical models in use across banks, primarily for the purpose of Credit underwriting and measurement & management of Credit Risk, Market & ALM Risk, ICAAP & Stress testing etc. • Previous work experience in Risk Analytics or Model Risk team of a bank or Risk advisory team of leading consulting firm with majority of time allocated on developing or validating statistical/econometric models • Proficiency in statistical modeling software ‘R’, Python, SAS & SQL is an added advantage • Excellent written and verbal communication skills Role Proficiencies: For successful execution of the job, a candidate should possess the- Knowledge of relevant Audit Systems Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to manage multiple tasks/projects and deadlines simultaneously

1. Skilled in SAS, SQL and Automation. Would prefer if the candidate has experience in visualization tools like Power BI/Qlik/Tableau. 2. Good knowledge of Banking domain (specifically Credit Risk Analytics Domain). 3. The candidate should have excellent written and verbal communication skills 4. Good stakeholder management skills 5. Experience in Marketing Analytics especially tracking Have work experience of working on data science problems. Experience of working in Banking and Credit Risk, Statistics modeling techniques like liner and logistic regression, decision tree and random forest Exposure to IFRS9 model development with parameters like PD, EAD, LGD, understanding of Application and Behavioral Scorecard Development Understanding of collections and recoveries business aspects Good knowledge of SAS and SQL Good communication Skills

Roles and Responsibilities Develop and maintain credit risk models using SAS, SQL, and other relevant tools. Ensure compliance with regulatory guidelines such as Basel II/III, CCAR, CECL, LGD, PD, EAD.

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 Development of PD (Application & Behavioral Scorecard), LGD and EAD Retail Models Developing Rating Models for Corporate banking portfolios Stress Testing Models Develop models like Collection, Propensity, Maturity, Pricing, etc. Advanced Analytics Solution (Machine Learning, Digital Lending etc.) Development of acquisition fraud scorecard Loss Forecasting Developing Rating Models for Corporate banking portfolios Developing/Reviewing ICAAP & RAROC Models Preferred candidate profile

Independently validate credit risk models (PD, LGD, EAD, Scorecards, IFRS 9/CECL, Basel) to ensure accuracy, robustness, and regulatory compliance. Assess model assumptions, methodologies, and performance metrics (AUC, KS, PSI, backtesting). Review model documentation and challenge conceptual soundness per Basel, SR 11-7, IFRS 9, and CCAR guidelines. Role & responsibilities Preferred candidate profile looking for immediate joiners only

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.

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

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.

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