Quantum Hardware Modeling - Research Scientist International Business Machines CorpQuantum Hardware Modeling - Research ScientistNYAs a Research Scientist, you will invent and model new processor technologies, including novel gates that connect qubits across a quantum chip, inter-chip entangling gates, advanced readout schemes, and novel reset mechanisms. You will then integrate successful innovations into the next generation of IBM Quantum processors, helping to shape the future of quantum computing.
Applied AI ML Lead - Generative AI and Semantic Modeling JPMorgan Chase & CoApplied AI ML Lead - Generative AI and Semantic ModelingJersey City, NJJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI, you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value.
Sr. Data Scientist - Process Modeling Amgen IncSr. Data Scientist - Process ModelingBridgeport, CTIn addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen's pipeline.
Risk Management - Quant Modeling Lead - Vice President JPMorgan Chase Bank, N.A.Risk Management - Quant Modeling Lead - Vice PresidentJersey City, NJFull timeAs a Quant Model Risk Vice President in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with complex models used for valuation, risk measurement, capital calculation, and decision-making purposes. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Senior AI/ML Engineer - Research Data AI and Predictive Modeling (Vaccine R&D) PfizerSenior AI/ML Engineer - Research Data AI and Predictive Modeling (Vaccine R&D)Pearl River, New York$139,100–$231,900 / yearEmbedded within Vaccines Research and supporting viral/bacterial vaccine programs, the successful candidate will lead implementation of a modern AI-ready research data ecosystem that enables advanced analytics, predictive modeling, generative AI applications, and agentic scientific workflows. Master’s degree in Computer Science, Machine Learning, Computational Biology, Software Engineering, AI, or a related discipline and a minimum of 4 years of applied AI/ML experience in R&D, Life Sciences or other related discovery focused environment.
Senior Ai/Ml Engineer - Research Data AI And Predictive Modeling (Vaccine R&D) PfizerSenior Ai/Ml Engineer - Research Data AI And Predictive Modeling (Vaccine R&D)Pearl River, NY$139,100–$231,900 / yearEmbedded within Vaccines Research and supporting viral/bacterial vaccine programs, the successful candidate will lead implementation of a modern AI-ready research data ecosystem that enables advanced analytics, predictive modeling, generative AI applications, and agentic scientific workflows. Master's degree in Computer Science, Machine Learning, Computational Biology, Software Engineering, AI, or a related discipline and a minimum of 4 years of applied AI/ML experience in R&D, Life Sciences or other related discovery focused environment.
Manager - Model Validation / Model Risk Audit Consulting RSMManager - Model Validation / Model Risk Audit ConsultingNew York, NY$101,000–$203,000 / yearPerform technical model validation procedures, including assessment of conceptual soundness, model assumptions, development methodology, data, implementation, model inputs and, outputs, controls, performance monitoring, limitations, and ongoing use and evidence supporting model effectiveness. Demonstrated experience leading or performing model validations and/or internal audit involving complex testing, control testing, or substantive testing over complex models, systems, or data-driven processes.
Applied AI ML Lead - Generative AI and Semantic Modeling JPMorgan Chase Bank, N.A.Applied AI ML Lead - Generative AI and Semantic ModelingJersey City, NJFull timeJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI , you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value.
NewProject Finance, Financial Modeling and Bankability Specialist Axyde AnalyticsProject Finance, Financial Modeling and Bankability SpecialistNew York City, New YorkRemoteAxyde is building a senior expert bench for anticipated U.S. government-funded project-scoping assignments involving mining, mineral processing, energy, utilities, transportation, digital infrastructure, smart cities, and other capital-intensive infrastructure across the Indo-Pacific, Africa and the Middle East, Europe and Eurasia, Latin America, and other global markets. Participation in a U.S. Trade and Development Agency project-scoping assignment may make the participating consultant or subcontracting entity ineligible to compete—whether as a prime contractor, subcontractor, or otherwise—for certain USTDA-funded follow-on activities resulting from that assignment, unless USTDA grants a waiver.
NewMember of Technical Staff - Data Flywheel Infra, Frontier Models Microsoft CorpMember of Technical Staff - Data Flywheel Infra, Frontier ModelsNY$142,800–$274,800 / yearMasters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Design Assistant/Fit Model BCI BrandsDesign Assistant/Fit ModelNew York, NYThis is a unique opportunity to work side-by-side with experienced fashion designers, participate in the product development process, and gain firsthand exposure to how apparel collections are created—from initial concept through production. You'll play a key role in helping our team develop great-fitting products by participating in: Daily fit sessions for in-house designs.
AI Foundation Model Engineer NTT DATAAI Foundation Model EngineerJersey City, NJAs part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. Experience with AWS Bedrock, SageMaker, OpenSearch, Kendra, Lambda, EKS/ECS, Azure OpenAI, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways.
Manager, Quantitative Analysis - Model Risk Office Capital OneManager, Quantitative Analysis - Model Risk OfficeNew York, New YorkCurrently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience in quantitative analytics. As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Risk Management - Model Risk Program Associate JPMorgan Chase & CoRisk Management - Model Risk Program AssociateJersey City, NJJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.
Quantitative Risk Engineer Electronic Trading & Factor Models Madison-DavisQuantitative Risk Engineer Electronic Trading & Factor ModelsNew York, NYThis is a high-impact Risk Engineer opportunity at one of the world's most sophisticated algorithmic trading firms, offering a rare combination of quantitative model development, risk infrastructure build-out, and cross-asset exposure across equities, fixed income, commodities, and credit. Customize and evaluate vendor market risk models;research and develop new models to address evolving trading and risk management challenges.
NewCorporate Vice President - Model Validation and AI Governance New York Life Insurance CoCorporate Vice President - Model Validation and AI GovernanceNew York, NY$147,500–$211,000 / yearAcross technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. Strong communication, leadership, and analytical skills, including the ability to interpret technical and regulatory requirements, translate them into practical controls, lead complex validations end-to-end, mentor colleagues, and present and defend technical findings with senior leaders and cross-functional governance bodies.
Associate Director, Model Developer, Structured Finance - New York or London S&P Global IncAssociate Director, Model Developer, Structured Finance - New York or LondonNew York, NY$148,491–$176,000 / yearThe Associate Director enhances S&P Global Ratings' ability to produce high-impact, insightful research and models and supports the continued growth of S&P Global Ratings' relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing innovative analytic solutions and tools, and helping to build data analytics capabilities across the SF team. As a Methodology Model SME, the position is embedded within the SF team and works closely with the Model and Criteria SMEs, who are responsible for developing and maintaining a growing portfolio of cutting-edge quantitative tools and analysis that enable analysts to continually produce high-quality and transparent credit analysis.
Model Risk (Risk Management) : Job Level - Associate Morgan StanleyModel Risk (Risk Management) : Job Level - AssociateNew York, New York$100,000–$140,000 / yearFirm Risk Management's unique franchise promotes:Flat, flexible and integrated global organizationCollaboration and teamworkCredible, independent decision-makingOrganizational influenceCreative and practical solutionsMeritocratic and diverse culture Primary Responsibilities1.* Conduct model validation for market risk and credit risk RWA (Risk Weighted Assets) models used under forecasting for CCAR and other regulatory stress testing guidelines by challenging model assumptions, mathematical formulation, and implementation.2.* Conduct and develop independent testing ideas and framework to assess model accuracy and robustness under different scenarios and market conditions for the Models.3.* Contribute to development and independently review existing monitoring and quantify model risks due to model limitations including developing compensating controls.4.* Develop high-quality validation reports highlighting risks and limitations of models and communicate findings to stakeholders, senior management, and governance committeesCollaborate with Global MRM teams, Model Control Officers, Regulatory Capital Controllers, Finance and Risk Managers to manage model risk across the model lifecycle.5.* Assist in cultivating and managing effective relationships with regulators by providing accurate and timely submissions.?Experience-Masters (or equivalent) in Finance, Economics, Mathematics, or a related quantitative field is required.-The ideal candidate has experience with understanding of credit risk or market risk gained at a financial institution is required.-2+ years of relevant working experience with validation, development or finance and change management function is required.-Knowledge of financial products and regulatory rules capital framework (SA-CCR, FRTB and Basel III rules) is a plus.-Experience on Regulatory Capital with CCAR and other supervisory stress testing is a plus.-The ability to effectively communicate with a wide range of stakeholders, both written and verbally is required.-Ability to partner and work effectively both with team members and with colleagues across the wider organization.-An interest in working in a fast-paced environment, often balancing multiple high priority deliverables with high attention to detail attitude is required.-Experience developing model testing for risk or capital models with IT implementation using Python, R or Alteryx and Excel VBA is a plus. Firm Risk ManagementFirm Risk Management (FRM) enables Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
Credit Risk Management Department - Risk Analytics Model Intern Bank of China Limited, New York BranchCredit Risk Management Department - Risk Analytics Model InternNew York, New YorkInternShe/he will help collect business/development data, run credit risk ratings/CECL/Stress Test, aggregate model output, conduct data analysis, and also help document models for model risk management purpose (internal model review and audit). Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.
Software Engineer - Hosted Model Infrastructure Palantir Technologies IncSoftware Engineer - Hosted Model InfrastructureNew York, NY$145,000–$200,000 / yearWe deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Debugging complex issues and performance problems throughout the stack, including open source inference engines, container runtimes, and GPU drivers, in environments you cannot always access directly.