455 Model Validation Jobs - Page 13

Are you seeking an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique position offers you the chance to collaborate with the Business team to deliver a comprehensive perspective. As a Model Risk Program Analyst within the Model Risk Governance and Review Group (MRGR), your responsibilities include developing model risk policy and control procedures, conducting model validation activities, offering guidance on appropriate model usage in the business context, evaluating ongoing model performance testing, and ensuring that model users understand the strengths and limitations of the models. This role also presents attractiv...

Whether you are at the beginning of your career or seeking your next adventure, your journey commences here. At Citi, you will have the chance to enhance your skills and contribute to one of the world's most global banks. We are dedicated to supporting your growth and development right from the start, offering extensive on-the-job training, exposure to senior leaders, and traditional learning opportunities. Additionally, you will have the opportunity to give back to the community through volunteerism. Citi Finance oversees the financial management and related controls of the firm. The team manages and collaborates on key Citi initiatives and deliverables, such as the quarterly earnings proce...

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descrip...

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 help in delivery of...

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model dev...

The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will en...

You will be responsible for independently assessing the conceptual framework, methodology, data, and implementation of models. Your role will involve validating models using Statistical and Machine Learning methods. You will be expected to suggest and propose changes in models based on your assessments. Evaluating potential risks associated with model usage and performance, including financial, operational, and reputational risks, will be a key aspect of your duties. Conducting independent performance reviews, back-testing, and benchmarking will also fall under your purview. Ensuring compliance with RBI and other regulatory standards is crucial to this role. Collaboration with the model deve...

As an Actuarial Intern, you will play a key role in supporting various actuarial functions within the organization. Your primary responsibilities will include assisting in the conversion and valuation of different blocks of business, conducting model testing and validation exercises post model conversion, and developing cashflow models for insurance liabilities, investments, and derivatives. To excel in this role, you should have a strong understanding of US Life Products exposure, particularly traditional and/or annuity products. Additionally, you must possess knowledge of pricing, valuation, risk management, model development, model validation, cashflow testing, and ALM. Familiarity with A...

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalab...

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric p...

We are hiring a quality-focused AI Tester to design and execute validation frameworks for AI models and systems. Reporting to the AI Manager, this role ensures that AI solutions meet accuracy, performance, reliability, and ethical compliance benchmarks before production deployment. Key Responsibilities: Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems. Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets. Conduct bias testing, data drift analysis, and adversarial robustness validation. Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria....

Responsibilities: Problem Definition & Hypothesis Generation: Work closely with business stakeholders, product managers, and engineers to understand key business challenges and formulate data-driven hypotheses. Data Collection & Preparation: Identify, collect, and prepare large, complex datasets from various sources. This includes data cleaning, transformation, feature engineering, and ensuring data quality and integrity. Exploratory Data Analysis (EDA): Perform in-depth statistical analysis and visualization to uncover trends, patterns, outliers, and relationships within data, generating actionable insights. Model Development & Evaluation: Design, develop, and implement machine learning mod...

You will be working as a Model Risk Analyst in the Risk department, specifically in the Model Risk Management (Market Risk) team based in Mumbai. Your primary responsibility will be to lead initiatives aimed at enhancing the accuracy, availability, granularity, and coverage of the existing model validation process. Additionally, you will be expected to develop tools for process automation to streamline the validation process. Your role will involve independently performing statistical and mathematical model development or validation for Retail Lending Scorecards. You will also be responsible for conducting validation exercises for Wholesale Rating Models, which includes quantitative and qual...

You will be responsible for leading the modernization of our flagship data modeling desktop product into a scalable, cloud-native SaaS platform. This role requires a combination of deep technical expertise, architecture leadership, and domain knowledge in data modeling, databases, and platform scalability. Your primary responsibilities will include architecting and driving the cloud transformation of a legacy desktop-based data modeling product into a multi-tenant, cloud-native application. You will define the modern architecture, including microservices, APIs, cloud storage strategies, and user/data management. Additionally, you will lead the design and integration of collaborative, browser...

As an AI/ML Specialist, you will be responsible for building intelligent systems utilizing OT sensor data and Azure ML tools. Your primary focus will be collaborating with data scientists, engineers, and operations teams to develop scalable AI solutions addressing critical manufacturing issues such as predictive maintenance, process optimization, and anomaly detection. This role involves bridging the edge and cloud environments by deploying AI solutions to run effectively on either cloud platforms or industrial edge devices. Your key functions will include designing and developing ML models using time-series sensor data from OT systems, working closely with engineering and data science teams...

As a Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for edge AI applications. Your primary responsibility will be to ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. By leading cross-functional teams, you will establish robust security frameworks and quality processes specifically tailored for AI applications deployed at the edge. In terms of security leadership, you will be responsible for designing and implementing comprehensive security frameworks for edge AI applications. This includes ensuring secure model deployment, data protection, and device authen...

Responsible for Independent Model validation & performance monitoring. Evaluating model assumptions & data integrity, testing model numerical, statistical, performing outcomes analysis & reviewing model governance & control process. Required Candidate profile 4+ years of experience in statistical or mathematical role with advanced experience in financial modeling in Commercial Real Estate Advanced Excel skills and experience in basic SQL query writing

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. In the role of data analysis at PwC, you will concentrate on using advanced analytical techniques to extract insights from large datasets and enable data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. A Fraud/AML Risk Analytics Professional at PwC will be responsible for developing, validating, auditing, and maintaining AI/M...

As a DWS Risk Manager - Investment Risk Models, AVP at Deutsche Bank Group in Pune, India, you will play a crucial role in overseeing the investment risk of DWS fiduciary portfolios. Your responsibilities will include developing, testing, and documenting both in-house and vendor-provided models, as well as designing and implementing compensating controls to address identified model weaknesses. You will be responsible for maintaining and enhancing existing risk models to deliver high-quality analytics and insights for the Investment and Product Divisions. Additionally, you will coordinate and document model development activities in collaboration with model vendors and key stakeholders to con...

Urgent Hiring for MNC for Model Validation role, which includes- Wholesale Fraud analytics model, Machine learning, model validation Experience in Wholesale IRB model development/validation Kindly send your updated CV at jatin@smrd.in

Some careers have more impact than others. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Lead Assistant Vice President Decision Sciences Principal responsibilities Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the und...

Job Title: AI Change Model Risk Manager Years of Experience: 5-9 Years Location: Bangalore (23 days onsite per week) Role Overview: A leading global financial institution is seeking a forward-thinking and detail-oriented AI Change Model Risk Manager to oversee the governance and risk management of AI and machine learning models within its Markets and Securities Services (MSS) division. In this role, you will be responsible for managing risks related to AI/ML model changes, ensuring compliance with regulatory expectations such as PRA SS1/23, SR11-7, and CRD IV, while supporting end-to-end delivery from proof of concept to production. You will also collaborate with data scientists, quants, mod...

The Senior Analyst, MoRM (DIPL) position based in Mumbai, India involves actively managing model risk globally in line with the bank's risk appetite. The primary responsibilities include performing independent model validation, identifying and mitigating model risks, designing model risk metrics, implementing a robust model risk management framework, and supporting bank-wide model risk-related policies and practices. This role encompasses validation applicable to estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across various business units and risk types. As a Senior Analyst in Model Risk Management, you will be responsible for validating Stress testing models un...

Job Overview: Understand the basics and principles of cat modelling and outputs (exposure, hazard, geocoding, vulnerability, financial model) Know how to use one or more than one cat modelling software (RMS, AIR, IF etc.) Run and analyze QBE exposures on different modelling software like Risk Modeler, AIR Touchstone, ELEMENTS as per model validation project needs and business. Understand different model profile settings and run sensitivity tests as per needs, extract and report results Understand Client exposure and view of risk, enabling better decision making, get familiarized with in-house tools Your responsibilities for this role may include, but are not limited to: Perform model validat...

Analyst/ Associate @ Acuity Knowledge Partners (2-4 years Model Risk Management) Key Responsibilities As part of the first line of defence, assess new and existing models for potential vulnerabilities, limitations, or misuse. Review, analyse and interpret findings and observations from the model validation team. Propose, implement and document required changes or enhancements to models, methodologies, data inputs, and assumption to address identified issues. Define and develop relevant edge case scenarios (e.g., extreme market, credit, or borrower conditions) to robustly challenge model performance Design and code analytical frameworks to simulate and test defined edge cases, ensuring compre...