1116 Model Development Jobs

SUMMARY Required qualifications (education) Bachelor’s (minimum) in Mathematical Finance, Financial Engineering, Applied Mathematics, Physics, or a related quantitative field Degree from a top tier university (e.g., Russell Group, Ivy League, equivalent) MSc/PhD desirable but not mandatory Required work experience 5 years of hands on model development for derivatives/structured products in at least one asset class 5 years of production level C++ programming Proficient in Python scripting for model calibration/automation Delivered quant libraries with minimal bugs and positive feedback from trading, structuring, and valuation control teams Experience with reserve methodology, model performanc...

. Ensurecompletion of experiments and generate accurate and reproducible data fromexperiments. Develop relevant models and validation of the same. Superviseand execute laboratory / pilot plant experiments pertaining to the relevantresearch area such as sample preparation using various methods, samplecharacterization using various analysis evaluation of the concernedsamples. Organizefacilities for experiments in research such as chemicals, equipment, analyticalmethods etc. Participatein pilot plant operations / studies, utilize results as boundary conditions formodel development Supportto plant operations Collectdata and conduct relevant analysis Uploadingreports on portal Preparationof Inter...

About the Function: Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help craft the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. Our D&T team includes some of the most dedicated digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, well help you become the best you can be, creating career-defining wor...

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...

Role Overview: You will be joining the Data Science and AI/ML team that collaborates across the organization to develop and deliver AI and ML powered software solutions aimed at improving patient outcomes, satisfying partners and customers, and enhancing business operations in an AI First manner. Your role as a Sr. Mgr. for Machine Learning Engineering will involve leading the development of ML architecture and operations, managing the AI operations team, ensuring production-grade AI/ML systems, and fostering best coding practices within the team. Key Responsibilities: - Drive a culture of learning within your team and challenge the status quo - Mentor and lead a team of engineers to help th...

Role: Anaplan Solution Architect Required Technical Skill Set: Pre Sales/ Admin Support Desired Experience Range: 10 - 16 years Must-Have Strong experience of leading multi-dimensional model development on the Anaplan platform , including configuration of existing models, incorporating new functionality, and optimizing modeling solutions Experienced in operating as the solution architectural lead for mid-sized or large-scale planning solutions High proficiency in understanding complex business data requirements while building models that will deliver relevant insights Strong attention to detail Solid understanding of Financial, Supply Chain, and Sales planning areas Ability to apply knowledg...

3+ years of experience working as data scientist using Python Engineering with GenAI solutions, including large language models. Ability to fine-tune models and utilise services like Langchain. Knowledge of ML model architectures and algorithms Expertise in model development, integration, and optimization. Ability to design, implement, and evaluate machine learning algorithms (classification, regression, clustering, etc.) and optimise their performance for production environments.

Software Developer (Python+ AI) Mumbai Information Technology Role summary The AI Developer is responsible for designing, developing, and implementing artificial intelligence models and algorithms. This includes working with machine learning, deep learning, and data analytics to create intelligent systems and applications. The role requires collaboration with data scientists and engineers to integrate AI technologies into real-world applications. What the role entails Key accountabilities/ responsibilities 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....

Job Title: Credit Risk Scorecard Model Developer Location: Pan India (Hybrid) Type: Full Time Role Overview Responsible for developing and maintaining credit risk scorecards (application, behavioral, and collection) to support lending decisions and portfolio management. Key Responsibilities Build scorecard models using Logistic Regression, WOE/IV, and other statistical methods. Extract, clean, and prepare data for model development. Evaluate model performance (KS, Gini, PSI, ROC, Lift). Document models and ensure compliance with Basel / IFRS9 / internal risk governance . Required Skills 2+ years in Credit Risk Modeling / Scorecard Development. Proficient in SAS / Python / R and strong in sta...

AI Architects define the technical architecture and strategy for AI solutions. Responsibilities include designing scalable AI architectures, overseeing model development, and ensuring alignment with business goals. You will guide development teams, collaborate with stakeholders, and drive the advancement of AI practices. Expertise in AI technologies and strategic planning are essential. Bachelors/Masters in Engineering 5-8 years Design and implement AI solutions, Define AI architecture and standards, Optimize AI systems for performance, Ensure alignment with business goals, Provide technical leadership.

Manager Portfolio Analytics Cross Sell and upsell Analytics (must have) model development like XG Boost Portfolio Spends Growth Targeting basis segments/persona, merchants, campaign recommendation to drive cross border. Driving card Activation to increase spends & engagement Collaborate with multiple stakeholders and teams such as Product, Operations, Portfolio teams etc. Presenting model results to management/ senior stakeholders strong project management, pipeline planning as well as documentation Qualifications Minimum of 7+ years of work experience in Data sciences with 3+ years of experience in Cross Sell analytics/ Portfolio analysts BFSI/ Credit Cards analytics exposure is mandatory. ...

Description: Lead Data Science Projects:Manage end-to-end data science initiatives from data acquisition to model deployment. Develop Data Pipeline:Create and implement Data Extraction and Pre-Processing pipelines from highly unstructured data sources. Develop Models:Create and implement machine learning/deep learning models for industry-specific applications. Data Analysis:Conduct exploratory data analysis to identify trends and optimize processes. Collaborate:Work with cross-functional teams to integrate data-driven solutions. Stakeholder Interaction:Be in sync with the Stakeholders and SMEs to get dynamic feature requirements. Also, good to have stakeholder management skills. Continuous L...

We will count on you to: Lead and Manage AI Engineering Teams: Oversee one or more teams or projects, providing technical guidance, mentorship, and fostering a culture of innovation and excellence in AI development. AI Solution Design & Development: Work closely with Architects to design, develop, and deploy scalable AI models and solutions, including machine learning, natural language processing, and prompt engineering, ensuring alignment with business objectives. AI Integration & Optimization: Collaborate with data scientists, data engineers, and product teams to integrate AI models into existing products and new initiatives, optimizing for performance, usability, and ethical consideration...

We are seeking an AI Engineer with 1–2 years of hands-on experience in developing and deploying AI-driven solutions. The ideal candidate should have a strong foundation in Generative AI, Large Language Models, and Computer Vision.

Responsibilities: * Lead recruitment efforts, oversee payroll & develop policies. * Manage HR processes, strategies & background verifications. * Ensure compliance with HR laws & best practices.

As a Data Science Specialist, your role will involve collaborating with cross-functional teams to translate business problems into data science use cases. You will design, develop, and deploy data science models, including classification, regression, and survival analysis techniques. Your responsibilities will also include building and productionizing data products that deliver measurable business impact, performing exploratory data analysis, feature engineering, model validation, and performance tuning. Additionally, you will apply statistical methods to uncover trends, anomalies, and actionable insights, while staying up to date with advancements in NLP and Generative AI to evaluate their ...

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...

As a Senior Vice President of Anti Money Laundering (AML) Analytics Head within the Citi Analytics & Information Management (AIM) team, you will be responsible for leading a team of Statisticians, Data Scientists, and Business Analysts focused on AML Data Science & Model Management, AML Independent Validation, and AML Global Business Solutions. Your role will involve implementing global consistent methodologies while also driving initiative, creativity, and enhancements to current methodologies. You will collaborate closely with business partners across various geographies where Citi operates. **Key Responsibilities:** - Act as a strategic leader by supporting Business Execution activities f...

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 ...

Technical Architect - Agentic AI | Job Opening Technical Architect Agentic AI Technical Architect Agentic AI Location Hyderabad or Bangalore Experience 12 to 16 Years Primary Skills: 10-12 years of experience in AI/ML-related roles, with a strong focus on OpenAI technology. GenAI Expertise: 1-2 years of experience in building Generative AI applications, including RAG, LLM chaining using Lang chain, prompt engineering. 5+ years of experience in Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. 1+ year experience in developing goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools vi...

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity apply your skills and have a direct impact on global business. You will be building production-grade ML services, developing end-to-end data pipelines, and integrating them as part of the overall inference architecture. You will have the opportunity to work with traditional AI/ML techniques as well as GenAI. As a Machine Learning Software Engineer II at JPMorgan Chase within the Corporate Oversight and Goverce Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a...

Job Responsibilities: Subject matter expert in Costing - Manage and lead as subject matter expert the global costing exercise taking in consideration all the necessary forecasted variables for a comprehensive and accurate cost update with impact in inventory valuation, profit margin analysis, sale prices ecc. - be the point of contact as a subject matter expert on a global scale for various costing issues for providing root cause identification, analysis and guidance to the local sites for solving the problem - Must be well versed with the SAP Controlling (CO) module and using in day to day business. Responsible for annual and day-to-day costing for all Swissco plants, Pune and Waterford. - ...