1119 Model Development Jobs - Page 9

As a Credit Portfolio Officer at Citi, your main responsibility will be to lead activities related to credit review, credit approvals, and monitoring the portfolio to identify credit migration in coordination with the Risk Management team. Your objective will be to manage Citi's portfolio exposure to clients and counterparties globally. Key Responsibilities: - Develop a framework for portfolio risk assessment, including evaluating credit and financial performance across various lending products and industry segments - Understand applicable credit policies, industry regulations, and their impact on prospective partners or product initiatives - Establish and leverage cross-functional partnersh...

You have the exciting opportunity to join the Model Risk and Governance Group (MRGR) as a Model Risk Management - Policy Practice and Governance Associate. In this role, you will partner with the Business to provide a comprehensive view and ensure models are used appropriately in the business context. - Manage multiple governance projects and tasks simultaneously, being flexible to work outside of the defined position as needed. - Communicate and manage project expectations to program managers, sponsors, team members, and other stakeholders in a clear and concise fashion. - Participate in process (re)engineering initiatives to achieve operational excellence. - Update MRGR governing policy an...

As a Machine Learning Researcher specializing in security at Arkose Labs, you will apply your expertise in machine learning and cybersecurity to develop innovative solutions to detect, prevent, and respond to security threats and fraud. You will conduct independent research, collaborate with cross-functional teams, and stay abreast of the latest advancements in the field. - Develop and implement ML and deep learning models to detect and mitigate security threats. - Developing new product features using statistical/machine learning-based algorithms to identify bot and fraud traffic. - Conduct data cleaning, preprocessing, and exploratory data analysis. Apply statistical methods to analyze sec...

4 -8 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. • • Good communication skills, both verbal and written. • Exhibit a fervour for crafting modular, scalable, and bug-free Python code. • Experience in production engineering best practices (e.g. Git versioning, Docker). • Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark) • Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP). • Excitement to collaborate with diverse stakeholders across the organisation. • In-depth understanding of various data science approaches, machine learning algorith...

tab-stops:list 36.0pt"> 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. tab-stops:list 36.0pt"> 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.Collaborate with cross-func...

As an AI Engineer Lead at Zeta, you will spearhead a team of AI engineers focused on developing sophisticated agent-based AI applications. These applications involve multiple AI agents working in coordination under a central coordinator agent, collectively executing complex business tasks. Your leadership will drive innovation and effective implementation of enterprise-grade AI solutions tailored specifically for banking institutions. Responsibilities Lead, mentor, and manage a team of AI Engineers in designing and developing agentic AI applications. Architect, plan, and oversee the implementation of AI agent swarms that collaborate efficiently to solve complex problems. Apply deep knowledge...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Pune Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative dat...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data a...

Salary : 30 to 45 LPA Exp: 7 to 12 years Location :Mumbai Only Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machin...

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

Title and Summary Senior Economic Analyst, Research and PartnershipsOverview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercards efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to...

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to dr...

The Role: Associate Director of Data Science RAG, NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities and Impact: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model component...

Key Responsibilities: Design, develop, and implement acquisition and behavioural scorecard models to predict and analyze loan risk Analyze data to develop customer acquisition strategies and provide peer benchmark comparisons on industry trends Perform portfolio monitoring to track key metrics related to risk and early risk indicators Explore and build alternate data-based risk defences Build end-to-end digital Upsell/Cross sell risk policy to ensure maximum conversion and minimum drop-off Collaborate with cross-functional teams to establish and update credit policies and procedures that align with digital onboarding strategies Identify opportunities to streamline digital onboarding processe...

Key Responsibilities: Design, develop, and implement acquisition and behavioural scorecard models to predict and analyze loan risk Analyze data to develop customer acquisition strategies and provide peer benchmark comparisons on industry trends Perform portfolio monitoring to track key metrics related to risk and early risk indicators Explore and build alternate data-based risk defences Build end-to-end digital Upsell/Cross sell risk policy to ensure maximum conversion and minimum drop-off Collaborate with cross-functional teams to establish and update credit policies and procedures that align with digital onboarding strategies Identify opportunities to streamline digital onboarding processe...

Key Responsibilities: Formulate and continuously enhance underwriting policies and credit programs across products Design and implement credit processes aligned with business goals and regulatory compliance Build the infrastructure required for effective credit risk assessment and decision-making Develop and deploy scalable underwriting models leveraging data analytics and industry best practices Benchmark underwriting strategies and policies against competition to maintain a strategic advantage Collaborate with product, technology, and risk teams to integrate credit policies into operational workflows Monitor credit performance, assess risk trends, and update models and policies accordingly...

Join us as an Assistant Vice President -Model Developer at Barclays, 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. Quantitative Analytics (QA) is a global organisation of highly specialized quantitative modellers and developers. QA is led by Olaf Springer, who is a member of Risk Exco.QA is responsible for developing, testing, implementing, and supporting quantitative models for valuation and risk management of traded assets, regulatory and economic capital, impairments, asset-liability management, operational risk, net...

As an individual at EY, you will have the opportunity to shape a career that aligns with your unique strengths, supported by a global network, inclusive environment, and cutting-edge technology. Your journey at EY will empower you to strive towards personal excellence while contributing to a more sustainable and prosperous working world for everyone. Your key responsibilities in this role will include: - Demonstrating profound technical expertise and industry insight into financial products. - Taking the lead in various aspects of both large-scale and smaller client engagements, ensuring consistent delivery of high-quality services. - Keeping abreast of market trends and client challenges wi...

Role Overview: As a Manager, Deterministic Quantitative Modeling Assurance at HSBC, you will be instrumental in ensuring the accuracy and effectiveness of Deterministic Quantitative Models (DQMs) within the organization. Your main responsibilities will involve: Key Responsibilities: - Undertaking detailed reviews of DQMs to confirm their suitability and operational efficiency. This will entail testing numerical implementations, evaluating inputs and outputs, and ensuring the relevance and completeness of data and documentation. - Conducting necessary control testing and preparing comprehensive written reports outlining review findings, including documenting identified issues and examining re...

As an MLOps professional, your role involves focusing on efficiency, scalability, and risk reduction in the development and deployment of machine learning models. You will play a crucial part in achieving faster model development, delivering high-quality ML models, and ensuring speedy deployment and production. Additionally, you will be responsible for overseeing, controlling, managing, and monitoring thousands of models for continuous integration, delivery, and deployment, thus ensuring vast scalability and efficient management. Key Responsibilities: - Ensure reproducibility of ML pipelines for seamless collaboration across data teams - Reduce conflict with devops and IT by facilitating tig...

To setup and maintain inputs, organising results for developing it into further reports, assessment of quality, validation of results. To support in development and testing of Actuarial Costing Tools with main focus on CPT(an internal pricing tool). Use of Actuarial Basis Shareholder Reporting Rules (EVM), USGAAP for model development and its testing. Cross collaborate with developers and modelling actuaries to ensure correct implementation of functionality in the tool About you: 2-3 years of Work Experience Graduate or Post-graduate in Business Mgt/Insurance/Actuarial Science/Mathematics/Statistics. Minimum 5 Actuarial Exams passed as per new curriculum (CM1 is compulsory) Understand the ba...

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.