582 Model Validation Jobs - Page 5

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank o...

Role & responsibilities Role Details Data Analyst Location: Gurgaon, Bangalore, Pune- Hybrid Experience: 4+ years Notice: Immediate joiner Band: B2-C2 Skills - SAS,EXCEL,SQL,RISK, RISK REPORTING Job Description Key Skills Required: *Strong hands-on experience in SAS (Base / Advanced) for data manipulation and analysis *Good understanding of Credit Risk domain and risk modeling concepts *Proficiency in SQL for querying large datasets *Strong working knowledge of MS Excel (advanced functions, reporting, data handling) Responsibilities: *Work on credit risk analytics, reporting, and portfolio analysis *Develop and maintain risk models, scorecards, and related documentation *Extract, clean, and ...

Min exp 11 years in Market Risk and Model Validation only Only BIG 4 Consulting experience Bangalore location Pls Call Vikas 8527840989 Email vikasimaginators@gmail.com

The deal review process requires indepth understanding of the trade structure of exotic financial products as well as expected payoffs at different time intervals to identify material risks with respect to booking methodology issues and trade documentation. Propose booking methodology and documentation amendments Perform scenario testing to ensure the model accurately captures the cash flow at different time intervals. To ensure the model is capable of handling all the contractual features of a trade. The role requires extensive liaising with the traders, regional stakeholders, documentation teams, Model Validation Group and quants team To generate various control MIS related to deal review ...

As a Business Analytics Analyst in the Fraud Analytics team at Citi, you will play a crucial role in developing and validating fraud detection models to support Citis North American Cards business. Your responsibilities will include: - Partnering closely with Strategy partners and Model Risk Management validators to support the model lifecycle, including validation, ongoing performance evaluation, and annual reviews. - Conducting model development, validation, and testing for fraud detection models, utilizing statistical analysis, data validation, and model performance evaluation techniques. - Performing rigorous validation assessments for fraud model validation, developing and implementing ...

About this role: Wells Fargo is seeking a Senior Control Management Specialist In this role, you will: Participate in identifying, assessing, managing, and mitigating current and emerging risk exposures within Control Management functional area Provide risk management consulting to support the business in designing and implementing risk mitigation strategies, business processes, and business controls Monitor moderately complex business specific programs and provide risk management consulting to support the business in designing and implementing risk mitigation strategies Monitor, measure, evaluate, and report on the impact of decisions and controls to the relevant business group or functiona...

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title: Model Validation Specialist- Derivative Pricing 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 M...

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Senior Specialist- Derivative Pricing, AVP 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 Th...

Job description >> Role & Responsibilities Work as a Business Analyst, Understanding of data and data architecture, metrics and the importance of these in the design and delivery of new dashboards. Able, to identify and engage data owners Ability to translate business requirements into technical requirements. Ability to a process mapping and have experience in Risk Transformation. Should have knowledge on requirement gathering and BRD/FRD documentation Relevant experience of controls required to assure quality and completeness of the solution and its data The ability to challenge what we are doing, to take our dashboard designs to the next level in terms of design and technology use. Experie...

Job description Role description: Independently manage medium to large projects through the lifecycle and use BA tools proficiently (business requirement documents, functional specification documents, data matrix, Work Flow Diagrams etc.) Run test management processes for medium to large scale projects (Test Strategy/Approach documentation, managing User Acceptance Testing, building test plans and test scenarios, building implementation plans.) Assist our stakeholder businesses with their tactical/strategic solution requirements, services and/or program. Must be able to work with Technology, Risk Management, Risk Middle Office, and Front Office to identify and maximize opportunities that hel...

About The Role The Arctic Wolf security operations platform ingests and processes upwards of 600 billion events a day from a wide variety of on-premise devices and cloud platforms. The security pipeline is a distributed system of loosely-coupled microservices that constitute our Realtime analysis and threat detection systems. These services distil the incoming events into actionable intelligence that our Concierge Security Teams use to protect customers. We are looking for experienced quality engineers to join our pack and work with us to build and expand the capabilities of our testing platform. You Will Create and extend software frameworks and tools to run, monitor, and report on automate...

About the Role: The QA Engineer will own quality assurance across the ML lifecyclefrom raw data validation through feature engineering checks, model training/evaluation verification, batch prediction/optimization validation, and end-to-end (E2E) workflow testing. The role is hands-on with Python automation, data profiling, and pipeline test harnesses in Azure ML and Azure DevOps. Success means provably correct data, models, and outputs at production scale and cadence. Key Responsibilities: Test Strategy & Governance Define an ML-specific Test Strategy covering data quality KPIs, feature consistency checks, model acceptance gates (metrics + guardrails), and E2E run acceptance (timeliness, com...

SUMMARY Job Title: AML Quant Specialist Location: Chennai Job Type: Full-time Job Description: Quant Specialists to validate and develop a diverse range of machine learning-driven quantitative models. These models address complex business challenges across multiple financial and non-financial risk domains (e.g. market risk, credit risk, counterparty credit risk (CCR), liquidity risk, AML/ financial crime). The role leverages advanced data analytics, automation, and cutting-edge techniques to enhance model accuracy and business insights. Key Responsibilities: Model Lifecycle Responsibility: Experience with either model development or model validation activities, ensuring robust model design, ...

As a Model Validation Analyst, you will be responsible for validating models within the banking or credit card industry. Your key responsibilities will include: - Performing independent validation of models, including stress testing, back-testing, and sensitivity analysis using XGBoost to ensure accuracy, reliability, and stability. - Demonstrating a strong understanding of statistical and machine learning concepts such as regression, classification, clustering, and neural networks. - Utilizing statistical testing, hypothesis testing, and data validation techniques. - Showcasing proficiency in Python, SQL, data analysis, and model implementation. - Effectively communicating technical finding...

You have an exciting opportunity to join a dynamic team at Standard Chartered as a Machine Learning Engineer. In this role, you will be responsible for applying machine learning techniques such as Natural Language Processing or Computer Vision using TensorFlow and Pytorch. Your strong analytical and problem-solving skills will be put to use as you build and deploy end-to-end ML models to support predictions, recommendations, search, and growth strategies. Additionally, you will need to have solid software engineering skills across multiple languages like Java, Python, and C/C++. Key Responsibilities: - Establish scalable and efficient processes for data analyses, model development, validatio...

**Role Overview:** As a part of the Citi Analytics & Information Management (AIM) team, you will be leading the Financial Crimes & Fraud Prevention Analytics in the Fraud Operation team based in Pune/Bangalore. Reporting to the Director/Managing Director, AIM, your primary responsibility will be to lead a team of data scientists in developing and implementing Machine Learning (ML) / AI / Gen AI models for fraud prevention. You will collaborate with the model implementation team, ensure model documentation, and contribute to achieving overall business goals by analyzing data and developing effective models. **Key Responsibilities:** - Lead as Subject Matter Expert (SME) in ML/AI/Gen AI, with ...

Job Description: Join us as an AVP Quantitative Analytics Market Risk Modeler at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development...

Role Overview: You will be joining the Model Risk Management Group (MRMG) as a Consultant, Risk analytics at Northern Trust. Your primary responsibility will be to support the model validation function by validating models developed in Python or SAS. You will challenge the conceptual soundness of machine learning models and ensure the quality of data used for development. Additionally, you will have a solid understanding of various financial models and risks associated with AI/ML models. Key Responsibilities: - Validate models developed in Python or SAS, ensuring the conceptual soundness and quality of data - Proficiency in financial models used in portfolio analysis, asset management, Value...

Role Overview: As a Senior Data Scientist at Ideapoke, you will be responsible for collaborating with product/business owners to map business requirements into products/productized solutions or prototypes of AI algorithms. Your role will involve evaluating and comparing algorithm performance based on real-world data sets, mining massive amounts of data to gain insights using machine learning techniques, and designing and implementing ML algorithms through in-depth research and experimentation. You will also work on accelerating the distributed implementation of existing algorithms, conducting research to advance the state of the art in deep learning, and establishing efficient processes for ...

Join us as an AVP Quantitative Analytics Market Risk Modeler at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on ...

Responsibilities: -Experience testing AML pipelines (pipelines/jobs/components), & message-driven integrations (Service Bus/Event Hubs). -focused experience on ML/Data systems (data pipelines + model validation) Python automation for automated ML QA.

Conduct independent validations of models, including but not limited to credit risk, market risk, counterparty credit risk, fraud detection, Stress Testing, AML and forecasting models. Should have model validation exposure in at least 2-3 of the areas listed above. Assess conceptual soundness, data quality, implementation accuracy, and performance of models. Prepare comprehensive validation reports detailing findings, methodologies, and recommendations. Document validation processes to ensure transparency and compliance with regulatory requirements. Ensure models adhere to relevant guidelines such as SR 11-7, EBA 2017/16, CCAR, Basel III, and other applicable standards.

Overview Machine Learning (Model Development, Deployment, MLOps), Python, Cloud Platforms (GCP/AWS) End-to-End ML Lifecycle Management, Python & Cloud Expertise, Data Engineering Scalable ML Solutions, Python, Cloud MLOps

About the Role We are seeking a Data Scientist who is passionate about turning data into actionable insights and deploying machine learning solutions into production. The ideal candidate will have strong foundations in statistics, machine learning, and data engineering , along with hands-on experience in model deployment (ML Ops) . Key Responsibilities Work with business stakeholders to identify opportunities for leveraging data to drive solutions. Build, train, and optimize machine learning models for real-world use cases (classification, regression, NLP, recommendation, etc.). Deploy ML models into production using ML Ops best practices (CI/CD pipelines, containerization, monitoring). Coll...

Role & responsibilities - ECL: Calculation: To calculate ECL for LC, MM, MEG, SEG, SCF, DIG SCF, CMG-Insti, CMG Retail, Digital, Unsecured, Mortgage. Automation: To implement ECL Automation project using Python. Build and maintain ECL model and documentation: Development of Probability of Default models used in the computation of ECL for Company's (secured and unsecured) portfolios in accordance with Ind AS 109/IFRS 9 guidelines. Design, develop, test and validate statistical models for the entire product suite. Responsible for the documentation of PD, LGD models and the ECL Policy. Computation: Responsible for enhancing and developing the Internal Capital Adequacy Assessment Process (ICAAP)...