132 Ccar Jobs

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.

The Senior Analyst position at Deutsche Bank in Mumbai, India, falls within the Model Risk Management team, focusing on managing model risk globally in accordance with the bank's risk appetite. The key responsibilities of this role include performing independent model validation, early identification and mitigation of Model Risks, supporting the design of Model Risk metrics, and implementing a strong Model Risk Management and governance framework. This role encompasses validation applicable to various estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across different business units and risk types. Your core responsibility as a Senior Analyst will be to validate Stress testing models under the CCAR PPNR umbrella for DB USA. Understanding different aspects of the bank's business within Corporate Banking, Private Banking, and Investment Banking is crucial. The role may require flexibility in moving across different risk areas within the US model validation team. Key tasks include model performance testing, scenario analysis, sensitivity analysis, conceptual assessment of model assumptions, and developing challenger models. To excel in this role, you should have 2-3 years of professional experience in model development/validation or related areas, with previous experience in stress testing being a plus. Knowledge and experience in working with B/PPNR models, financial statement analysis, statistical techniques, and proficiency in software packages like R and Python are essential. Strong analytical skills, report drafting abilities, and good presentation and communication skills are also required. Candidates with Mathematics, Statistics, Economics, Engineering, or MBA backgrounds are preferred, and certifications like CFA or FRM would be beneficial. Deutsche Bank offers a flexible scheme with benefits such as best-in-class leave policy, parental leaves, childcare assistance benefit, sponsorship for certifications, Employee Assistance Program, comprehensive insurance coverage, and health screening. Training, coaching, and a culture of continuous learning are provided to support your career development. The bank encourages a positive, fair, and inclusive work environment, promoting collaboration and celebrating the successes of its people. Visit the company website for more information: https://www.db.com/company/company.htm.,

About this role: Wells Fargo is seeking a Senior Quantitative analytics Specialist. Model Risk management (MRM) operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRMs recognized high standards. Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business. It further requires strength in writing detailed standard analytical reports to ensure Wells Fargos compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring. These documents are read by a broad audience, including auditors and regulators. In this role, you will: Perform highly complex activities related to creation, implementation, and documentation Use highly complex statistical theory to quantify, analyze and manage markets Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives Utilize structured securities and provide expertise on theory and mathematics behind the data Manage market, credit, and operational risks to forecast losses and compute capital requirements Participate in the discussion related to analytical strategies, modeling and forecasting methods Identify structure to influence global assessments, inclusive of technical, audit and market perspectives Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills Required Qualifications: 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Proven experience as Model Validator/ Model Developer in the industry. Exposure to Banking Book is highly desirable Candidate should have a strong understanding of Balance Forecasting models /Loss forecasting models /PPNR/fee models /Econometric models. Candidate should have an excellent business understanding especially the Wholesale/Commercial portfolio (Banks, Corporate, Real estate, Specialized lending). The ideal candidate will bring in deep domain knowledge and advanced technical skills to drive sophisticated Credit risk validation initiatives across Commercial portfolio. Deep understanding on how different economic factors interact, howtheoretical model translated into a mathematical equation, would be an added advantage. Candidate should be well versed with concept like Estimation, Backtesting, sensitivity, Shock/Scenario creation, Pandemic data management, coefficient stability analysis. Proven experience using techniques like Time Series Forecasting, Regression, Machine learning, Ideal candidate should be well versed in credit risk model validation/development of models (PD, LGD and EAD, LGD models, stress tests) for credit portfolio of the bank as per regulatory guidelines. Skill to apply regulatory requirements outlined in SR11-7, CCAR CECL/IFRS9, and other regulations and rules to conducting model validation assignments. Ability to develop comprehensive technical documentation including - Validation reports, Model risk findings, Regulatory compliance documentation. Candidate must have hands on experience on Python, Pyspark and related libraries and code development skills (e.g., Python, Pyspark, Pyfarm) . Experience in performing model validations and clearly documenting evidence of validation activities. Communicating model risk findings and limitations to key stakeholders (preferred). 4+ years of experience with minimum Masters in a quantitative field such as Statistics/ Econometrics/ Finance/Computer sciences or any other behavioral sciences with a quantitative emphasis. Job Expectations: MRM serves as the second line of defense to ensure the integrity of Wells Fargos model inventory. A Senior Quantitative Analytics Specialist is an individual contributor role. This position will focus primarily on Commercial Credit and Corporate Economic group model validations. A validation project typically begins and ends with the analyst, requiring broad and continuous attention to detail, comprehensive documentation, and interactions with developers. A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solutioning business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.

Senior Analyst, MoRM (DIPL), NCT Position Overview In Scope of Position based Promotions (INTERNAL only) Job Title - Senior Analyst, MoRM (DIPL), NCT Location - Mumbai, India Role Description Model Risk Management's 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. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll 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 Stress testing models used within the larger CCAR PPNR umbrella for DB USA. It's important and incumbent to have an understanding of different aspects of bank's 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 Bank's 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. 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: We strive for a 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.

The IT Business Lead Analyst is a senior-level position responsible for liaising between business users and technologists to exchange information in a concise, logical, and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning. Responsibilities: - Provide input during development and implementation phases, including formulation and definition of systems scope, objectives, and necessary system enhancements for complex, high-impact projects - Coordinate with business owners and senior stakeholders in Markets Desks to gather high-level requirements and provide detailed data analysis and recommendations keeping in mind end-to-end impact - Responsible for clean requirement documentation, requirement walkthrough to the implementation team, and implementation validation - Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment - Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency Qualifications: - 10-15 years of experience. At least 10 years in the Financial Services industry is preferred - In-depth understanding with Retail Risk projects, basic understanding of Retail banking products - Any experience with Retail Risk application and regulatory models CCAR, BASEL, and Reporting will be preferred - Proficiency in MS Office (Word, Excel, Visio, PowerPoint) and SQL with extensive experience using Excel and SQL for data analysis - Experience of working in an Agile environment and on tools like JIRA and Confluence - Excellent communication skills and experience of handling senior stakeholders - Comprehensive knowledge of the principles of business analysis This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

About KPMG INDIA KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Credit Risk Role Should have prior experience in model development, model validation or model monitoring with Indian Banks. Good understanding of Credit Risk Model Development steps starting with exploratory data analysis, roll rate, vintage analysis, good/bad definitions, factor selections, logistic/ linear regressions including assumptions and limitations, scorecard calibration Credit Risk Model Validation starting from data preparation and analysis, validation tests, back testing, scenario analysis, sensitivity analysis Time Series analysis and forecasting Economic Capital computation Sound knowledge of IRB, IFRS 9, CECL, CCAR, SR-11-7, Scorecard, Wholesale & Retail Portfolio, credit card, CRD, CRR guidelines. Regulatory Guideline - PRA, EBA, FED, HKMA Degree/ Qualified accountant/FRM with regulatory reporting background Strong quantitative and analytical skills with attention to detail and accuracy A power user of Excel spreadsheet and PowerPoint. Acumen and demonstrated knowledge to use visualization tools (i.e., Power BI) will be advantageous Investment banking product knowledge and other regulatory development around IB SAS, Python, R CA/MBA(Finance)/ M.SC (stats) Certifications in CFA/ FRM Good communication skills, analytical and presentation skills are mandatory for the above skill set. If interested please send in your Cvs to [HIDDEN TEXT]. Looking for selected candidates to join within 30 to 45 days or an immediate joiner. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you Show more Show less

Role Overview We have a challenging opportunity for the aforementioned roles in our Financial Services practice. The person will focus on Indian and global clients, work in a client-facing role, and take on the responsibility of delivering and leading projects around Credit risk analytics and or providing a single point end-to-end accountability for the project oversight, establish a working relationship with the internal and external stakeholders. In line with the increasing regulatory requirements within different aspects of Enterprise Risk Management, the candidate would support banks in Enterprise Risk Management Support catering to changing regulations, review and oversight of credit risk models and with a view to keep its existing ERM framework in speed with the regulatory requirements and long term strategy of the bank. Key Responsibilities Preforming Risk Analytics activities to develop models and support the bank on various analytical initiatives Assist in modeling key risk estimates PD, LGD and EAD for AIRB and IFRS9 framework Regularly engage in model development, validation, and re-development activities Other risk analytics activities include assisting in review and re-development of Macro-Economic Model, RAROC Calculator Risk Adjusted Return on Capital Period reporting (internal & regulatory) of various Risk Metrics Engage in model risk management activities Desired Profile Postgraduate with 7-10 years of experience in the Banks, NBFCs, consulting firms Certificates like CFA, FRM, CQF Should be proficient in MS Excel and PowerPoint Excellent knowledge of SAS, R, Python. Should have excellent communication skills (oral, written, and email drafting skills) Good organizational, analytical, problem-solving, and project management skills Technical Knowledge Understanding and experience in credit risk function, specifically retail models. Understanding of banking products, operations, and strong knowledge of Basel and IFRS 9 regulatory landscape and regulations in risk, capital, operation, and compliance. Prior work experience with regulators in India and Middle East (RBI, CBUAE, SAMA etc.) is preferred Deep understanding and strong knowledge of SAS/R/Python Understanding of retail banking, corporate banking, capital markets, trading, and other financial services. Individual must have experience in IFRS9, Basel II, III and IV Standardized and Advanced approaches, BCBS, ICAAP, Stress testing, Scorecard development, policies/ procedures, system implementation, etc. Experience in developing PD, LGD, EAD and CCF models for banks and financial institutions Experience in statistical methods such as logistic and Probit regressions Experience in macroeconomic model development and stress testing Key Personal Attributes A good blend of creative thinking and rigorous analysis in solving business problems Strong communication, facilitation, relationship-building, presentation, and negotiation skills Must work well in a team-oriented environment as well as independently. Work with team members to set goals and responsibilities for specific engagements. Foster teamwork and innovation. Ability to work under pressure. Mature, proactive, and displays initiative. Manages own and others' time well. Good oral and written communication skills including documentation of findings and recommendations. Adept at preparing and presenting reports to an audience.

Project description We are seeking an experienced professional to join our Credit Risk and Securitization domain in a dual capacity as a Business Analyst (BA) and Data Analyst (DA). You should bring deep expertise in credit risk modeling, securitization, and financial regulations, along with strong analytical and communication skills. Responsibilities Analyze and document business requirements (BRD, FRD, As-Is, To-Be). Conduct functional, user acceptance, and end-to-end integration testing. Navigate complex systems and data landscapes to identify gaps and apply assumptions for business outcomes. Ensure data accuracy, consistency, and integrity across systems. Implement data validation and cleansing processes. Optimize data processing and analysis to support decision-making. Write SQL queries for data analysis and visualization. Present complex data insights to senior management and stakeholders. Skills Must have Minimum 8 years of industry experience in BA/DA roles. Strong understanding of credit risk models (PD, LGD, EAD) and mitigation techniques. Expertise in securitization transactions and economic models. Familiarity with Basel III, IFRS-9, and relevant US/European regulations. Knowledge of fair valuation of assets and business model testing. Understanding of Treasury functions and capital market products. Experience with SDLC processes and documentation. Analytical mindset with strong problem-solving abilities. Ability to manage multiple projects and adapt to evolving business needs. Understanding of enterprise data architecture (data lakes, warehouses, marts). Nice to have N/A

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 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.

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

As an integral part of Citi Cards" success, strong and effective Risk Management is crucial for serving customers while safeguarding Citis interests. The NA Cards Risk Management division consists of highly qualified professionals located globally. The role within the Credit Loss / Loan Loss Reserve Forecasting and Stress Testing team involves managing the net credit loss and loan loss reserve forecast on a portfolio exceeding $200 billion. This includes collaborating with the Finance teams to develop forecasts for credit losses and loan loss reserves under different macro-economic and business conditions. Specifically focusing on NA Cards and Personal Installment Loan (PIL) Credit Loss / Loan Loss Reserve Forecasting and Stress Testing, the individual will also be involved in Comprehensive Capital Analysis & Review (CCAR/DFAST) for specific sub-portfolios. The individual in this position is expected to demonstrate strong leadership skills and leverage technical and business acumen to deliver high-quality results. Collaboration with various departments such as Modeling, Finance, Risk Policy, Governance, Global CCAR office, and External Auditors is essential. Key responsibilities include executing quarterly loss / loan loss reserve forecasting and stress testing processes for NA Cards portfolios, cross-functional collaboration on analytics, reviewing and challenging existing models, understanding reserves calculation, partnering with Finance team, creating presentations, establishing standardized documentation, coordinating with Global CCAR Office, driving process efficiencies through automation, and managing information controls. Qualifications for the role include a Bachelors degree in a quantitative discipline, 8+ years of work experience in financial services or management consulting, strong understanding of risk management, knowledge of credit card industry and regulatory activities, hands-on experience with forecasting models, proficiency in analytical packages and MS Office, ability to provide innovative solutions, and strong written and oral communication skills. Leadership competencies required for the position include driving changes to achieve business targets, interacting with senior executives, influencing management at all levels, developing partnerships, displaying flexibility, leading by example, appreciating diverse backgrounds, demonstrating strong ethics, building cross-functional relationships, and contributing to a positive work environment. Citi is an equal opportunity and affirmative action employer that values diversity and encourages qualified applicants to apply for career opportunities. If you require a reasonable accommodation due to a disability, you can review Accessibility at Citi.,

Location -Gurgaon Time 1 pm to 10pm Both sides cab available Looking for candidate who can develop models related to credit Risk Model, FICO Model. Ensure models are accurately tuned and meet regulatory and business requirements. Prepare detailed reports and presentations on fraud trends, model performance, and recommendations for improvement. Communicate findings to stakeholders and senior management effectively. Create and maintain comprehensive Model Development Reports (MDRs) summarizing validation activities, methodologies, and results. Conduct thorough assessments of financial crime models to identify strengths, weaknesses, and areas for improvement. Perform detailed data analysis to evaluate the accuracy and reliability of fraud-related findings. Identify any discrepancies or anomalies in the data provided by financial crime vendors. Ensure all documentation adheres to regulatory and organizational standards. Collaborate with model development, and compliance teams to address any concerns or issues identified during the validation process. Stay abreast of industry best practices and regulatory changes related to credit reporting and scoring Bachelors/ masters degree in Statistics, Economics or a related field (FRM is a plus). 1 -5 years of experience in Model validation and monitoring of Fraud/Financial crime models. Familiarity with fraud detection systems and vendors such as FICO, VISA and STAR is a plus. Hands-on experience in programming languages like SQL, Python and advanced excel. Excellent communication and interpersonal skills. Please share your profile at Surbhi.malhotra@nlbtech.com

MoRM Americas Model Validation Specialist - Associate Position Overview In Scope of Position based Promotions (INTERNAL only) Job Title: MoRM Americas Model Validation Specialist - Associate Location: Mumbai, India Role Description Model Risk Management's 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 you'll 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. It's important for incumbent to grasp and understand Investment Banking side of the bank's 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 Bank's 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: We strive for a 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.

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.

About The Role Strong understanding of Market Risk Concepts with in-depth knowledge of Risk Sensitivities/Greeks . Experience working in Investment, Corporate Banking especially in the Risk Management domain with strong understanding of products as Derivatives, Fixed Income, Equities, FX, etc. Hands on experience in writing SQL queries for data extraction and analysis, proficiency in Excel as a tool for data analysis Proven capability to liaise with Risk Managers, gather and document requirements and work closely with Developments teams to implement the same Strong problem solving and analytical skills with excellent Communication and Stakeholder Management skills Good to have skills FRTB knowledge, Python skills, certifications like FRM/CQF

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. Citi's Risk Management organization oversees Citi's risk governance framework and risk appetite, ensuring all risks generated by the firm's businesses are measured, reviewed, and monitored on an ongoing basis. We're currently looking for a high-caliber professional to join our team as Vice President, Project Management, Credit Ris - Hybrid (Internal Job Title: Vice President - C13) based in Mumbai, India. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decisions and manage your financial well-being to help plan for your future. In this role, you're expected to project manage the Book of Work across US Personal Banking Risk and, in partnership with other Program Management leads, businesses, and other functions, with best-in-class execution discipline. You will collaborate with other Program Managers to action deliverables from reviews of each program's defined scope, target state, and success criteria. Your responsibilities will also include managing, monitoring, and tracking the execution of transformation programs and timing of work streams, deliverables, and other milestones. As a successful candidate, you'd ideally have the following skills and exposure: - 10+ years of project management experience from a financial services environment - Knowledge and expertise in Program Management, including Project Management and/or management reporting and analysis - Prior work experience in Regulatory Reporting/Retail credit Risk reporting CCAR/BASEL/Mifid/Liquidity reports is mandatory - Ability to develop project plans, manage individual deadlines and goals - Proficient in MS Office applications, MS Project, VISIO, JIRA Qualifications: - Bachelors/University degree, Masters degree preferred - PMP/CSM/Prince 2 certification strongly preferred Working Hours: 1:00 pm - 10:00 pm IST Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact. Take the next step in your career, apply for this role at Citi today.,

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. In this role, you're expected to: The Program Management Lead is a strategic professional who stays abreast of developments within their own field and contributes to directional strategy by considering their application in their job and the business. Recognized as a technical authority for an area within the business, the role requires basic commercial awareness and developed communication and diplomacy skills to guide, influence, and convince others. The position has a significant impact on the area through complex deliverables and provides advice and counsel related to the technology or operations of the business. The work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Responsibilities: - Supports planning, directing, and coordination of day-to-day activities of running a program or portfolio of programs. - Applies in-depth understanding of how areas collectively integrate within the subfunction as well as coordinate and contribute to the objectives of the entire function; and, requires basic commercial awareness. - Assesses creation and signoff of program plan and charter, benefits management plan, stakeholder management plan, acceptance plan, and central program issue log. - Oversees program plans meet business needs as described in the program initiation documents. - Ensures all stakeholders are identified and included in scope definition activities and understand the program schedule and key milestones. - Works with Program Sponsor to ensure business case cost benefit analysis is in line with business objectives. - Ensures all areas of the program are appropriately staffed. - Monitors program commitment from those assigning resources. - Escalates program risks to the Program Director, or Program Sponsor, when appropriate. - Creates the program risk management plan. - Works with procurement team to create, administer, track, and eventually close program contracts. - Makes recommendations for training and development needs for assigned personnel. - Directs area supported through responsibility for delivery of end results and shared responsibility for budget management; accountable for resource planning. - Ensures essential procedures are followed and contributes to defining standards. - Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: - 10+ years of project management experience from a financial services environment - Knowledge and expertise in Program Management, including Project Management and/or management reporting and analysis. Recognized technical authority for an area within the business. Requires communication and diplomacy skills in order to guide and influence others. Experience and demonstrated ability to manage competing priorities in a complex and dynamic environment Self-motivated with the ability to make decisions in the absence of detailed instructions. Excellent Microsoft Office skills - Prior work experience in Regulatory Reporting/ Credit Risk reporting/ Market Risk/Data Management CCAR/ BASEL/ Mifid/ Liquidity/FRTB/BCBS239/IFRS/CVA reports is mandatory - Ability to develop project plans, manage individual deadlines and goals. - Knowledge of project metrics, including gathering, reporting, trend analysis, creation, and metrics. - Ability to identify issues and problems, generate solutions, and choose appropriate alternatives using basic root cause analysis. - Manage project scope by assessing requirements changes, determining and conveying impact on budget, time and risk. - Manage client expectations, anticipates operational and tactical risks and tracks them; clarify, identify, and track requirements and issues, remove barriers, resolve minor project issues and escalate to immediate manager where required. - Proficient in MS Office applications, MS Project, VISIO, JIRA Education: - Bachelors/University degree, Masters degree preferred - PMP/CSM/Prince 2 certification strongly preferred Working Hours: 1:00 pm - 10:00 pm IST Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact. Take the next step in your career, apply for this role at Citi today,

Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Overall 5-8 years of experience in model development, market risk or model validation. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application.

URGENT HIRING || MARKET RISK || BANGALORE LOC- Bangalore EXP- 2-5 years CTC- Upto 28lpa SKILLS- Market risk, Model development & validation, CCAR, DFAST, CECL, SAS, R PYTHON, regulatory requirement, VAR Drop your CV's at rashibimaginators@gmail.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.

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.

At EY, you have the opportunity to shape a career that is as unique as you are. With global reach, supportive environment, inclusive culture, and cutting-edge technology, you have the resources to evolve into your best self. Your individuality and perspective are highly valued at EY, as we rely on your voice to contribute to our continuous improvement. Join us to craft an exceptional journey for yourself while working towards a better working world for all. Your responsibilities include advising clients on Financial Services Risk Management matters within the financial services sector, particularly focusing on Market Risk and Counterparty Credit Risk identification, measurement, and management. Your role will involve addressing financial risk exposure to interest rate fluctuations, commodity prices, equity movements, credit risks, and foreign exchange rate changes. You will offer strategic guidance on implementing processes, business enhancements, and regulatory compliance requirements such as SA-CCR, Regulatory CVA, Risk Pricing, Margin, and CCAR. Collaboration with a diverse team of professionals, delivering high-quality services, showcasing technical expertise, nurturing client relationships, and exploring business development opportunities are key aspects of your role. Your expertise in structuring and planning projects in risk and capital markets, conducting fieldwork, managing project risks, and effective communication with stakeholders are crucial. Understanding client needs, referring them to relevant colleagues, and expanding business relationships are part of your responsibilities. To qualify for this role, you should hold a Bachelor's degree in finance, economics, accounting, engineering, or a related field with 1-2+ years of relevant work experience, or a Master's degree in Finance, Accounting, Business, or Management with 2 years of experience in the Financial Services industry. Your experience should encompass various areas within the financial services industry, including capital markets functions, quantitative analytics, risk management, margin and collateral management, regulatory requirements, derivatives product knowledge, and market infrastructure understanding. Strong problem-solving skills, excellent communication abilities, and a proactive attitude will further enhance your suitability for this role. The ideal candidate will also possess experience with market infrastructure and control functions, displaying a proactive approach towards challenges and opportunities in the financial services industry. EY is committed to building a better working world by creating long-term value for clients, people, and society, while fostering trust in capital markets. With a global presence in over 150 countries, EY teams leverage data and technology to offer assurance and support clients in their growth, transformation, and operations. By working across various sectors such as assurance, consulting, law, strategy, tax, and transactions, EY teams strive to address complex issues by asking critical questions and providing innovative solutions.,

You should have at least 4+ years of experience in Model Development or Validation related to areas such as IRRBB, NII, NIR, IRE, IRR, EVE, EVS, and Balance sheet models. Your skill set should include strong proficiency in Excel, Python, and SQL programming. Additionally, a basic understanding of debt investment securities and non-trading market risk like FXRBB, commodity risk, private equity risk, CSRBB, QMMF, and CCAR for Pensions, ATM/AFS portfolios, etc. will be beneficial. It is essential to have a foundational knowledge of regulatory, compliance, risk management, financial management, and data governance concerns. Your responsibilities will include supporting BSM analytics and modeling projects focusing on asset allocation, FXRBB, OCI stress testing (CCAR), QMMF for pensions, AFS/HTM securities, and Commodity/Equity/CSRBB risk. You will be expected to provide accurate analysis to improve BSM methodologies and assist in the development and maintenance of Citis first-line NTMR framework. This involves working closely with MRM to ensure proper development and validation of NTMR models, as well as collaborating with senior leaders to align governance for legal entities with various risk factors. Coordination with business, Treasury, CTI, Markets Treasury, and Controllers is crucial to ensure effective NTMR management. Additionally, you will support the remediation of non-trading market risk gaps as per Tier 1 regulations and assist in resolving regulatory/audit issues to achieve the target state framework. If you are interested in this position, please send your resume to "swarali.deshmukh@credencehrservices".,