132 Ccar Jobs - Page 5

We are seeking a highly skilled and motivated CCAR/CECL Modeler to join our team. In this role, you will develop and deploy regulatory models used for regulatory reporting and financial forecasting. The ideal candidate should have expertise in statistical modeling, data analysis, and financial risk assessment, with a strong emphasis on understanding CCAR and CECL requirements. Responsibilities: Conducting specific aspects of the model development life cycle, which involves data acquisition, assessing data integrity, model development, documentation, and implementation assistance. Obtain, clean, and verify data used in model development, ensuring data integrity and quality. Design, develop, test, and validate statistical models for forecasting credit losses and assessing portfolio risk Provide comprehensive documentation for models and present findings to stakeholders Qualifications: 3-5+ years of experience in analytics, preferably in Banking and Financial Services. Hands-on experience working on regulatory models. Proficient in various statistical techniques, including regression, time series analysis. Understanding of credit risk, portfolio risk, and regulatory frameworks (e.g., CCAR, CECL). Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results. Proficiency in programming languages such as Python Strong communication skills, both written and verbal, with the ability to convey complex ideas to stakeholders.

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

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.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Specialist Associate Location Mumbai, India 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; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy: Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The core responsibility will be to validate IB Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand Investment Banking side of the banks business. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 3-6 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Candidate needs to have decent knowledge about financial products and the associated risk factors. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Very strong data management and analysis skills with experience in relevant software packages, e.g., R and Python. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India 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. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above 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 includingFront 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. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

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

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

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.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleProduct Tagging Validation Specialist Corporate TitleAVP LocationMumbai, India Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. Your skills and experience Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleEngineer, Associate LocationPune, India Role Description: We are looking for an Axiom developer for US regulatory reporting delivery. You'll be part of a cross-functional team thats responsible for the full software development life cycle, from conception to deployment. As an Axiom developer, one should be comfortable designs, implements, and documents end to end solutions, which include the use of Axiom v9, V10 and Oracle database, UNIX, Control-M Candidate should also be a team player with a knack for product understanding. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities AxiomSL Controller View configuration and implementation experience, including creation of data sources, data models, shorthand, portfolios, aggregations, reports, and workflows. Experience in Software Design & Development, and in supporting, troubleshooting, and resolving both user and system related issues with financial system reporting environments (e.g., AxiomSL, Oracle, data warehouses, Unix, Control-M etc.) Ability to adapt to changing business needs and requirements. Quantitative, analytical, problem solving and decision-making skills. Action oriented; drive continuous improvement in an agile environment. Organized self-starter with the ability to work independently and think creatively in a fast-paced environment. Attention to detail which includes follow up and/or escalation of issues when necessary. Strong verbal and written communication skills Ability to understand and interpret client requests/needs, and respond to questions with clear and effective answers, and give cohesive presentations. Proven team player, willing to assist others as needed to ensure that group deadlines are met, and quality standards are achieved. Participate in Agile Scrum ceremonies. Work closely with Functional Analysis and Quality Assurance teams and other developers in the team for completion of task in hand Your skills and experience IT Exp of 5-8 yrs of relevant AxiomSL development experience Proficiency in development of regulatory reports using Axiom Controller v10. Familiarity with US regulatory reports such as, IHC, CCAR, FRY9C,14Q,14A, FR2900, TIC etc. Proficiency in RDBMS (Oracle 12C, 18g or 19c) Proficiency in performance tuning of SQL queries Working knowledge of Unix shells scripting. Experience of US FED, FINMA, Treasury (TIC) Regulatory submission Understand Axiom v10 Axiom architecture and in-depth knowledge of Freeze, archival, signoff, branch dependency, favourites etc. Experience in Google Cloud platform Agile methodology delivery experience How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About this role: Wells Fargo is seeking a Risk Analytics Consultant In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: Financial services experience, in lending, underwriting, servicing. Excellent understanding of Capital markets focusing on counterparty credit risk, CCAR and stress testing. Experience in programming languages such as SAS, SQL, Teradata. Knowledge and understanding of databases and data mining techniques Ability to articulate complex concepts in a clear manner Ability to interact with all levels of an organization and collaborate to build successful relationships Ability to be flexible and adjust plans quickly to meet changing business needs Strong organizational, multi-tasking, and prioritizing skills Ability to take initiative and work independently with minimal supervision in a structured environment Exposure to Wells Fargo origination, servicing and reporting platforms such as MSP, SHAW, and AFS. Exposure to Wealth Management systems Cattalos, STOC, ClientLink, and Optimist. Support the WIM CRO Credit Risk team with risk analytics activities across consumer, mortgage, and custom credit/commercial products. Leverage innovative tools to collect, analyze, and interpret large amounts of data across multiple data environments Identify trends and patterns to inform sound business decisions. Effectively utilize analytical tools to create visualizations and share insights. Learn about many aspects of WIM business through partnerships with various groups including credit policy, underwriting, and servicing. Combine technical skills with business skills to help support the team with end-to-end quality assurance initiatives. Provide quantitative support of credit policy through analysis and impact assessment of prospective quality assurance findings. Develop recurring reporting and ad hoc analysis packages to monitor various product sets across WIM for management.

Key Qualifications: Proven experience as a Business Analyst in Capital Markets and Finance domains. Preferred experience in Model Risk and Operational Risk areas. Technical & Methodology Skills: Strong understanding and hands-on experience with Agile methodologies. Basic knowledge of SQL ability to query and analyze data at a foundational level. Core Responsibilities: Engage with business users and stakeholders to gather, analyze, and groom requirements. Create Functional Requirement Documents (FRDs) and other supporting documentation. Develop and maintain user stories with clearly defined functional acceptance criteria. Coordinate and assist users during User Acceptance Testing (UAT) phases. Act as a liaison between business and development teams to provide clarifications and resolve requirement-related queries. Interact effectively with senior stakeholders and communicate project updates or blockers in a timely manner. Certifications (Preferred): IIBA - Certified Business Analysis Professional Mandatory Competencies BA - Business Analyst - Requirement Gathering BA - Business Knowledge BA - Domain knowledge Domain Areas - FS Domain - Capital Markets QA - Agile Methodology BA - SQL Beh - Communication and collaboration

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.

Job Purpose With approximately 5 million contracts cleared every day across multiple asset classes, ICE Clear Europe (ICEU) is one of the worlds most diverse and leading clearing houses. As a clearing house, ICEU performs a critical role in ensuring market stability specially through periods of volatility and increased uncertainty. It provides central counterparty clearing and risk management services for global energy, interest rate, equity index, and agricultural derivatives. The Clearing Risk Department of ICEU is at the forefront of managing the risk across these global markets and is the business risk (or first line risk) management function. The department is responsible for management of Market Risk, Model Risk, Collateral Risk, Stress Testing, Default Management Risk. To this end the team is responsible for developing and maintaining quantitative models to estimate risks including under extreme stress market conditions. The team is client and clearing member facing covering risks across all time zones. ICE Clear Europes Clearing Risk Department (CRD) is looking for a front office risk analyst. The successful candidate will assist the senior risk managers in overseeing and shaping the risk management practice at one of the largest futures and options clearing houses in the world. You will be joining a very dynamic team, be exposed to a wide range of asset classes and be challenged with complex risk problems. You will be responsible for carrying out all aspects of the day-to-day risk management duties and assist in developing and implementing enhancements to the risk management tools, and processes. You will also participate in the design and implementation of new risk initiatives and products that benefit the business. Responsibilities Analyze and monitor market and collateral risks on real-time basis and appropriately escalate any risk concerns Build and maintain risk management reports to support day to day risk management, and management reporting for various ICE Clear Europe Boards and Committees. Ensure the risk management framework and risk policies are being adhered to and are consistent with regulatory and industry standards Assist with identifying areas where the risk management processes, or infrastructure can be improved Enhance documentation of risk processes and procedures Assist with internal and external communication including, inter alia, representatives from clearing members, ICE management and regulators Collaborate with a group of colleagues on various strategic projects Conduct project work and run thematic or ad-hoc market research on relevant risk topics Knowledge and Experience Degree in Business, Science, Economics, Engineering, or a related numerical discipline Attention to detail and strong problem-solving skills with the ability to balance trade-offs Prior experience in risk management as a risk analyst or relevant professional experience (at an investment bank, hedge fund or clearing house) will be an advantage. Strong knowledge in financial derivatives products in multiple asset classes preferred Prior experience in applying risk management models and techniques such as Value at Risk models, Liquidity Risk models, backtesting and stress testing models will be an advantage. Ability to be a team player and to collaborate with other teams Ability to conduct research, analyze problems, formulate and implement solutions in an efficient, effective, and independent manner Excellent written and verbal communication skills Experience with SQL and Python preferred Experience with BI tools such as Tableau is desirable Any progress towards CFA or FRM would be advantageous

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualification Who we are looking for 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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

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; Effectively managing and mitigating Model Risks; Supporting the design of Model Risk metrics; Implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies and practices. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. Your key responsibilities The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important and incumbent to have an understanding of different aspects of banks business within different business segments of Corporate Banking, Private Banking, Investment banking. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team, outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 2-3 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate should possess knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python Candidate needs to have experience of report drafting reports and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, supporting framework development, designing presentations will be a plus for the role.

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; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. Your key responsibilities The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand the different business including Investment Banking, Private Bank, Corporate Bank and Asset Management. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks utilized in validation activities. Your skills and experience 6-10 years of professional experience in model development/ validation or related areas. 2-3 years of experience in PPNR model development / validation. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate must possess substantial knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Good presentation & communication skills. Ability to deal with stakeholders and handle difficult conversations. Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, developing framework, designing presentations will be a plus for the role.

Ready to shape the future of work? At Genpact, we don't just adapt to change we drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, this is your moment Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook. With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. Were harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Model Development In this role, you will be responsible for model development, implementation & documentation - for a BFS client in the US Responsibilities You will be working with the model development function of a large banking client and will focus on data validation, model methodology, calibration, implementation and monitoring of risk and regulatory models across business functions, and development of challenger models, as necessary. It will also involve interaction with various stakeholder groups including model validation, model owners/lines of business, auditors, and client model developers. You will be expected to work hands-on to assess models, build and lead development teams, and bring in thought leadership and domain/quantitative best practices to present an effective challenge to the models. Your activities will include, but will not be limited to the following: Work hands-on in development, re-development, and calibration of risk and regulatory models for banking book including deposit runoff, average balance forecasting, prepayment models for assets portfolio Data and quantitative analysis to support modelling decisions and ensure the correctness of the market data sourced from several vendors. Work on the development of model methodologies, algorithms, and diagnostic tools for testing model robustness, sensitivity, and stability. Detailing of model techniques and interpretation of variables used in the models to be documented and presented to client stakeholders. Develop model performance metrics and a detailed model monitoring plan to ensure continued use of these behavioural models Development of benchmark models may be required Help develop thorough technical documents for distribution and presentation to senior management, model developers, auditors, and regulators. Bringing in industry best practices and consultative inputs to help deliver continuous value to client engagements in advanced risk analytics. Qualifications we seek in you! Minimum qualifications Educational qualification: master's and bachelor's degrees in quantitative disciplines, like, mathematics, statistics, economics, computer science and engineering, etc.; MBAs must have bachelor’s degree in above-mentioned disciplines Relevant experience: For Assistant Manager: relevant years' experience in Banking and Financial services, with experience in predictive modeling of regulatory and non-regulatory credit risk domain For Manager: relevant years’ experience in Banking and Financial services, with experience in predictive modeling of regulatory and non-regulatory credit risk domain Hands-on experience in SAS is needed. It is good to have Python coding experience. Experience in developing, validating models and risk management of credit risk models. Knowledge of various statistical techniques and proven skill in regulatory and non-regulatory credit risk modelling Understanding and experience of the regulatory risk model development/validation guidelines – SR 11-7, Basel IRB, CCAR, CECL, IFRS9 etc. End-to-end development or independent validation of credit risk and regulatory models including but not limited to – PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML and counter fraud models etc. Develop statistical/mathematical and machine learning based models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Excellent knowledge of various statistical techniques Strong client management and communication/presentation skills – written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Preferred qualifications Strong networking, negotiation and influencing skills. Knowledge of credit risk management for retail and wholesale lending products Hands on experience in Machine Learning modeling techniques Why join Genpact? Be a transformation leader Work at the cutting edge of AI, automation, and digital innovation Make an impact Drive change for global enterprises and solve business challenges that matter Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities Work with the best Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Lets build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Experience of 3+ years working with financial products and market risk while employed at an asset management firm or risk technology vendor. Solid working knowledge of all financial products with an emphasis on MBS, ABS and structured products. Strong knowledge of key market risk analytics including DV01/CS01/OAS/option Greeks and Value at Risk (VaR).

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.