455 Model Validation Jobs - Page 3

Lead the end-to-end implementation, configuration, and optimization of SAS Viya-based AML solutions. Analyze regulatory requirements and translate them into technical and functional specifications. Design, develop, and maintain AML detection models, data pipelines, and analytical reports. Collaborate with compliance, IT, and risk management teams to ensure solutions meet all operational and regulatory requirements. Conduct system performance monitoring, troubleshooting, and continuous process optimization for AML applications. Provide expert advice on AML technologies, best practices, and emerging trends. Prepare and maintain all technical documentation, user guides, and compliance reports. ...

About Internal Audit Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the Board and is responsible for providing an independent view to the Board of Directors and Senior Management on the quality and efficacy of the internal controls, risk management systems, governance systems and processes in place on an on-going basis. This is provided to primarily ensure that the business and support functions are in compliance with both internal and regulatory guidelines. About the Role The candidate should have master's degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and ...

Role Overview: Join DWS as a Senior Risk Analyst in Mumbai, India, and be part of an industry-leading firm with global presence. Embrace the opportunity to innovate, invest responsibly, and drive change in the markets. As part of the Investment Risk team, you will play a crucial role in overseeing investment risk for DWS fiduciary portfolios, designing risk programs, and managing market, liquidity, sustainability, and counterparty risks. Key Responsibilities: - Support the development and maintenance of investment risk management programs and models through quantitative analysis and process development - Document investment risk management programs and models - Conduct scenario calibration a...

As a Computer Vision Engineer at our company, you will play a crucial role in transforming business challenges into data-driven machine learning solutions. You will collaborate with product teams to offer insights from complex data sources and drive product direction through data-based recommendations. Key Responsibilities: - Design, develop, and implement computer vision algorithms and models for image and video analysis, object detection, recognition, and tracking. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for computer vision solutions. - Conduct research to stay updated with the latest advancements in com...

In this role at Citi as Vice President - Data Scientist_Fraud Analytics- Hybrid, you will be part of the Citi Analytics & Information Management (AIM) team, where you will be responsible for developing cutting-edge data science solutions to enhance fraud detection and reduce false positives. Your key responsibilities will include: - Developing, validating, and testing fraud detection models through statistical analysis, data validation, and model performance evaluation. - Conducting validation assessments for fraud model validation and implementing methodologies to assess model accuracy, robustness, and effectiveness. - Ensuring compliance with regulatory requirements and industry best pract...

Responsibilities: Helping with various aspects of model validation Perform all required tests (e.g. model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of risk model validation/monitoring understanding with respect to marketing/general analytics problems Managing assigned projects in a timely manner,...

Responsibilities Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Hands on development and deployment of GenAI / LLM based solutions Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Understanding of LLM architecture and ability to visuali...

Job Title: Model Validation Lead- Derivative Pricing Corporate Title: VP 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 ...

Role Summary : We are seeking a highly skilled Senior Credit Risk Professional to lead our credit risk management projects. This role involves overseeing the implementation of IFRS 9 models, managing credit risk projects, validating policies and models, and providing strategic guidance on risk management. Key Responsibilities: IFRS 9 Implementation: Lead the implementation of IFRS 9 models in compliance with RBI guidelines. Project Management: Oversee credit risk projects, ensuring timely and efficient execution. Model Validation: Validate credit policies and models for accuracy and regulatory compliance. Risk Strategies: Develop and enhance statistical models for ECL, PD, LGD, and EAD. Indu...

Job TitleAI Test Engineer Job Summary W e are looking for a motivated individual to join our AI Testing team. As a staff AI Test Engineer, you will assist in developing and executing test cases for AI models and systems, ensuring they meet quality and performance standards. You will collaborate with experienced engineers and data scientists to gain hands-on experience in AI testing. Key Responsibilities: Test case design: Good understanding about the various testing touch points in a model development lifecycle Participate in discussions with team members to understand testing needs. Support the development of test cases based on project requirements. Ability to define test cases to validate...

About the Role: We're looking for a Lead AI engineer with 6-10 years of experience, who can build production-grade agentic AI systems. You'll be working at the intersection of cutting-edge AI research and scalable engineering, creating autonomous agents that can reason, plan, and execute complex tasks reliably at scale What We're Looking For: Agentic AI & LLM Engineering You should have hands-on experience with: 1) Multi-agent systems : Building agents that coordinate, communicate, and work together on complex workflows. 2) Agent orchestration : Designing systems where AI agents can plan multi-step tasks, use tools, and make autonomous decisions. 3) LLMOps Experience : End-to-End LLM Lifecyc...

Job Description: You will be joining as a Model Risk Program Analyst within the Model Risk Governance and Review Group (MRGR). Your main responsibility will be to develop model risk policy and control procedures, conduct model validation activities, offer guidance on appropriate model usage, evaluate ongoing model performance, and ensure that model users understand the strengths and limitations of the models. This role offers attractive career paths for individuals involved in model development and validation, allowing them to collaborate closely with Model Developers, Model Users, Risk, and Finance professionals. Key Responsibilities: - Engage in new model validation activities for all Data...

As a member of the Economic Sanctions and Screening team, your primary responsibility will be to develop, enhance, and validate sanctions screening frameworks and models. You will play a crucial role in strengthening the firm's financial crime risk posture by ensuring that our screening capabilities are in line with global regulatory expectations and industry best practices. - Evaluate existing sanctions models and propose enhancements based on regulatory guidance and operational feedback. - Conduct regular reviews of sanctions screening models to ensure compliance with OFAC, EU, UN, and other regulatory standards. - Support tuning and threshold analysis for match scoring, analyze screening ...

About HighLevel: HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a ...

About Us: Paytm is Indias largest digital payments and financial services platform, leading the mobile QR revolution. We power millions of businesses and individuals, and were building scalable, resilient systems to serve half a billion Indians and beyond. Here at Paytm, technology isn't just about keeping up, it's about building the future. We believe the next generation of engineers must not only scale systems to billions but also leverage AI and GPT tools to accelerate innovation About the Role: We're looking for a Senior AI engineer with 3-6 years of experience, who can build production-grade agentic AI systems. You'll be working at the intersection of cutting-edge AI research and scalab...

Role Overview: As a Senior Data Scientist specializing in Statistical Analysis, your primary responsibility will be to develop effective and high-quality analytics solutions that align with business requirements. Leveraging your deep understanding of statistics and mathematics, along with a solid domain expertise, you will be instrumental in crafting pre-built business solutions to tackle specific challenges. Additionally, you will play a crucial role in providing technical consultation to both existing and potential clients throughout various stages of the program, contributing to proposals and pre-sales activities. Key Responsibilities: - Systematically Develop and Maintain Offerings: - Pr...

As a Manager, Model Validation - Hybrid at Citi, you will be a part of the Artificial Intelligence (AI) Review and Challenge Group within the Model Risk Management organization. Your role will involve independently validating AI/ML non-model objects, developing Generative AI solutions, and supporting the design and delivery of Risk programs for Risk Management. Key Responsibilities: - Independently validate AI/ML non-model objects, including unsupervised learning models, Natural Language Processing models, and Generative AI models. - Develop and implement Generative AI solutions to enhance validation activities. - Support the design, development, delivery, and maintenance of Risk programs, p...

Minimum Years of Experience: 10+ Years Key Responsibilities & Required Qualifications PhD in Computer Science, Statistics, Applied Mathematics, Data Science, AI, or a related field. Proven experience applying ML, deep learning, and statistical techniques to real-world problems. Strong programming skills in Python , R , or similar languages, with expertise in TensorFlow , PyTorch , Scikit-learn , etc. Proficiency in SQL and experience with large-scale data platforms (Hadoop, Spark, etc.). Strong background in mathematics, probability, linear algebra, and optimization. Experience in research publication or open-source contribution (preferred). Excellent communication skills to explain technica...

Hyderabad 5 Days office in a week Final round of interview face to face Mandatory Risk Analyst Model Risk Management (MRM) | ICE We are looking for a Risk Analyst to join the Model Risk Management (MRM) team at ICE. This team independently validates quantitative models used across the business and ensures they perform as expected. The role combines data analysis, statistical modeling, and risk management with clear reporting and presentation to stakeholders. Key Responsibilities: Validate and support risk and financial models across business units Perform data analysis using statistical, mathematical, and computational methods Write clear validation reports and present findings to stakeholde...

Position Overview Job Title: Risk Manager/Senior Risk Manager - Model Validation Corporate Title: AVP Location: Bangalore, India Role Description The Risk platform is the independent risk oversight function of DWS. Model Risk is part of the Risk function and is designed to provide governance and control to manage a variety of models used in the Firm and associated risks. The Model Risk team works as a global organization with team members in New York, London and Frankfurt with a focus around validating, testing and overseeing the usage of models related to Fiduciary Risk (Market/Liquidity), Corporate Risk (Economic capital) and Investment Risk for Liquid and Illiquid investment strategies. D...

About the Team: Morningstar DBRS Credit Ratings, LLC is registered with the U.S. Securities and Exchange Commission as a nationally recognized statistical rating organization (NRSRO). Morningstar DBRS Credit Ratings issues credit ratings on a variety of security types including corporate and structured finance securities. This Morningstar subsidiary aims to increase market transparency by providing the highest-quality ratings, securities research, monitoring services, operational risk assessments, data, and tools. Morningstar DBRS is a global credit ratings business, formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of ...

As an Assistant Manager, Quant Modeling at Ocwen, you will be responsible for executing, monitoring, and recalibrating various statistical models. Your role will involve automating model execution using Python, R, and SQL, as well as developing new Statistical and Machine learning models across different business units within the organization. Effective communication skills will be essential as you present complex statistical/data science projects to non-technical audiences. Key Responsibilities: - Run and execute existing Statistical, Machine learning, and analytical models using Python, R, and SQL to support various business needs. - Prepare and conduct periodic model monitoring and recali...

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Overview MSCI ESG Research is recognized as the global standard for providing sustainability signals, data, and insights. Our team plays a crucial role in developing robust and scalable methodologies that power ESG ratings and sustainability solutions, helping investors assess ESG risks and opportunities across thousands of companies worldwide. Model validation is a key pillar of this effort, ensuring that our methodologies remain transparent, reliable, and aligned with the evolving needs of investors and regulators. As ESG regulations develop, we are expanding our focus on model validation, strengthening our capabilities in efficacy testing, implementation testing, and other quantitative va...

As a Model Validation and Model Development professional at KPMG in India, you will have the opportunity to work with a diverse range of clients and sectors. Your responsibilities will include: - Proven experience in market risk, risk modeling, or model validation - Assessing the conceptual soundness and methodology of models including Value at Risk, Counterparty Risk Exposure models, and Pricing of derivatives - Producing high-quality model validation reports, focusing on limitations, weaknesses, and assumptions - Strong understanding of regulations and guidelines such as SR 11-7 for model risk management - Checking the appropriateness of input data, model assumptions, calibration accuracy,...