1119 Model Development Jobs - Page 4

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows cand...

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Conversational Text AI Platform: Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process. Develop core infrastructure and reusable components to support the deployment of conversational AI systems. Wor...

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Conversational Text AI Platform: Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process. Develop core infrastructure and reusable components to support the deployment of conversational AI systems. Wor...

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Agentic AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Agentic AI Platform: Build and maintain autonomous software agents using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process automation. Develop core infrastructure and reusable components to support the deployment of agent-based AI systems. Work on agent orchestration, prompt engineering, ...

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows cand...

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Agentic AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Agentic AI Platform: Build and maintain autonomous software agents using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process automation. Develop core infrastructure and reusable components to support the deployment of agent-based AI systems. Work on agent orchestration, prompt engineering, ...

Execute Model Publishing: You will run the process for publishing OTR cycle models for every sold contract. This involves taking the "as-sold" model and preparing it for final publication. Collaborate for Accuracy: Work closely with the ITR (sales support) engineers to understand the technical details and assumptions behind each performance guarantee ensuring you can accurately replicate their results. Support Web Publishing: Partner with the web development team to publish the final validated performance guarantee data to our customer-facing and internal portals. Assist in Tool Validation: Support the methods team by performing validation and user-acceptance testing on new NPSS features and...

Design and develop AI and machine learning models for various applications.Implement and optimize algorithms for improved performance. Work with large datasets to train and test AI models.Collaborate with cross-functional teams to integrate AI solutions into products. Perform data analysis and pre-process data for model development. Stay updated with the latest trends and research in AI and machine learning. What we are looking for in you Candidate should have a good working knowledge on the Python & AI Models. Candidate should understand the business requirement and able to drive project individually.

AI/ML Engineer with 3+ years of hands-on experience in building and deploying ML models. Python, TensorFlow/PyTorch, Scikit-learn Data handling (Pandas, NumPy, SQL) Cloud (AWS/GCP/Azure), Docker ML model development & deployment

The Senior Principal Quantitative Analyst plays a critical role in ensuring the accuracy, integrity, and reliability of quantitative data that powers Morningstars financial models, analytics, and decision-making processes. This role is a cornerstone of the Managed Investment Data (MID) program, which collects, standardizes, and enriches global fund data—supporting investors, advisors, and institutions through trusted data and insight. The analyst will lead quantitative data quality design and implementation, develop AI/ML-based validation frameworks, and collaborate with cross-functional teams to strengthen data governance and model readiness. This role reports to the Director, Quality & Tra...

As a Mathematics Researcher, you will engage in cutting-edge research to advance the field of mathematics and its applications. You will collaborate with interdisciplinary teams to explore innovative mathematical concepts and methodologies, contributing to impactful projects that push the boundaries of knowledge. This is a full-time on-site position. **Responsibilities:** - Align with the in-house software team by analyzing process flows, calculations, and optimizing software app processes and functions. - Develop mathematical based algorithms, flowcharts, and pseudocode for software developers to use as a base for error-free coding and programming. - Develop and analyze mathematical models ...

Location: Bengaluru Designation: Consultant Design, develop, and deploy AI solutions using Generative AI and Agentic AI frameworks. Implement and optimize Multi-Agent Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Conduct research and stay up to date with the latest trends in machine learning and deep learning. Write clean, scalable, and efficient Python code for AI model development and deployment.

Location: Bengaluru Designation: Senior Consultant Design, develop, and deploy AI solutions using Generative AI and Agentic AI frameworks. Implement and optimize Multi-Agent Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Conduct research and stay up to date with the latest trends in machine learning and deep learning. Write clean, scalable, and efficient Python code for AI model development and deployment.

About this role: Wells Fargo is seeking a Lead Securities Quantitative Analytics Specialist In this role, you will: Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics We are looking at a Rates Quant with C++/java 8 (Functional Programming) proficiency to cater to the Interest Rates Options Desk. Work in our quant library in C++, as needed, to adapt our generic models to specific use cases. Understanding valuation of basic products like Treasury Bonds, Interest Rate swaps. Collaborate with and support Front office Trading, Technology Partners, and Model Validation/Governance teams. Lead complex initiatives with b...

Design, develop, and deploy AI solutions using Generative AI and Agentic AI frameworks. Implement and optimize Multi-Agent Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Conduct research and stay up to date with the latest trends in machine learning and deep learning. Write clean, scalable, and efficient Python code for AI model development and deployment.

About this role: Wells Fargo is seeking a Senior Securities Quantitative Analytics Specialist who is responsible for performing complex activities related to the design, development, validation, implementation, documentation, and on-going maintenance of securities quantitative models for Pricing/Risk that offer insights and recommendations on portfolio performance for the front office team. Utilizes advanced mathematical skills and programming to create and validate analysis Corporate & Investment Banking (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government an...

Hiring for advanced analytics candidates who are very strong in to coding skill under SAS, SQL and PYTHON programming, also well versed with Data scientist technologies Perks and benefits WORK FROM HOME

Why Hudson Data Work on real data problems across fintech, lending, and AI-ops platforms. Exposure to full-stack analytics: modeling, automation, and product integration. Flat structure, high ownership, and visible impact on business outcomes. Continuous learning and mentorship from experienced data and product leaders. Role & responsibilities Hudson Data is a fast-growing analytics and AI company helping financial and technology clients turn raw operational data into predictive insights. We combine domain expertise, modern data infrastructure, and applied machine learning to solve high-value business problems in credit, collections, risk, and customer engagement. Were looking for a Data Sci...

As an AI/ML Computational Science Specialist at Accenture, you will be a part of the Technology for Operations team, serving as a trusted advisor and partner to Accenture Operations. Your role involves providing innovative and secure technologies to assist clients in building an intelligent operating model, leading to exceptional results. Working closely with the sales, offering, and delivery teams, you will identify and develop innovative solutions in areas such as Application Hosting Operations (AHO), Infrastructure Management (ISMT), and Intelligent Automation. Your expertise in Artificial Intelligence (AI) will be crucial, encompassing a deep understanding of AI concepts, techniques, and...

Role Overview: As a key member of the Analytics & Decision Science department, you will be responsible for setting up and managing credit risk management and fraud risk management frameworks and strategies. Your role will involve overseeing a team focused on developing, implementing, and refining risk management rules and collection strategies to support digital lending initiatives. Your strong analytical, strategic, and technical skills, along with a deep understanding of risk management in the lending domain, particularly within NBFCs, banks, or fintech organizations, will be crucial for success in this position. Key Responsibilities: - Lead, mentor, and manage a team of analysts and data ...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

Role Overview: You will be joining the Model Risk Management Group (MRMG) as a Senior Consultant, Risk Analytics at Northern Trust. Your primary responsibility will be to lead the discovery and diagnostic of AI/ML model related risks, including various aspects such as input data, assumption, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation. Key Responsibilities: - Independently validate Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) models, covering supervised, unsupervised, reinforcement learning, and foundation model categories. - Evaluate Gen AI model risk, including aspects like hallucination, prompt ...

Role Overview: As part of DBS Banks vision to be the Best Bank for a Better World powered by data and AI, you will lead the design and execution of data analytics and AI-led business strategies across Consumer Banking Group (CBG) and Institutional Banking Group (IBG). The role demands deep analytical expertise, strategic thinking, and the ability to influence senior stakeholders across business and technology domains. Key Responsibilities: - Define and drive data analytics-based strategies that enable business growth, improve operational efficiency, and create competitive advantage across CBG and IBG. - Lead the identification, development, and implementation of Generative AI and Agentic AI-...

One of the largest employee-owned companies in the world, Mott MacDonald is a multisector consultancy providing engineering, management, and development services on projects in 150 countries and a global reach spanning six continents With over 20,000 of the best people working on a diverse range of challenges, we are helping our clients deliver sustainable infrastructure and development solutions We have a collegiate and collaborative culture that values equality and diversity, and we take proactive steps to create an inclusive workplace, Our teams take an active part in international infrastructure projects, specializing in bridges, highways, geotechnics, railways, environment, tunnels, and...

Preferred Skills: Experience in MLOps practices and tools, Proven track record of leading technical teams and projects, Strong problem-solving skills and attention to detail Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, Proven experience in technology or solution architecture, with a focus on data engineering, AI-ML and GenAI based solutions, Strong leadership and communication skills Key Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e g , PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches...