Responsible for identifying potential, emerging and material market risks, monitoring, managing, and analyzing financial risk exposure across asset classes globally, and driving the development of data analytics tools for risk monitoring.
Compensation
Primary Location Full Time Salary Range: $150,000.00 - $175,000.00
Responsibilities
Developing data analytics tools to identify, quantify, and analyze key market risks
Enhance Markets RWA monitoring and analytics
Support the firm's FRTB program, including IMA implementation and SA readiness
Understand the firm’s risk appetite, limits, and capital framework
Track product performance across Global Markets to form a forward-looking view on risks
Requirements
Bachelor's/University degree
Master's degree preferred (Math, Engineering, Statistics, or Finance concentration)
Support the Fundamental Review of the Trading Book (FRTB) implementation and analytics for Exotics desks, building, testing, and improving regulatory models, capital calculations, and pricing libraries.
Compensation
Primary Location Full Time Salary Range: $150 000,00 - $175 000,00
Responsibilities
Help build and maintain the C++ libraries behind exotics pricing, risk and regulatory calculations
Contribute to modelling and implementing FRTB frameworks (SA, IMA, NMRF, DRC) across exotic products
Implement and benchmark techniques such as Monte Carlo, PDE solvers, trees/lattices and sensitivities/AAD
Partner with traders, structurers, risk quants and technology to integrate models and roll them into production
Write unit tests, regression suites, performance benchmarks and clear technical documentation
Requirements
Master’s degree in a STEM discipline (Mathematics, Statistics, Physics, Computer Science, Data Science, Machine Learning, Artificial Intelligence, Operations Research, Quantitative Finance, Econometrics, Engineering)
Join an applied AI team building agent-driven systems that change how work gets done inside a fast-growing financial technology company. You will work across engineering and product to turn new ideas about AI-enabled workflows into reliable systems used by internal teams.
Compensation
Base salary range: $150,000 to $300,000 annually. Visa sponsorship is available.
Responsibilities
Build and improve AI agents that handle complex workflows, moving beyond basic conversational interfaces.
Develop full-stack products and the infrastructure, interfaces, and operating models that support people working alongside agents.
Work directly with internal teams and users to understand workflows, gather feedback, and iterate on solutions.
Take ownership of projects from problem definition through launch and ongoing performance.
Use first-principles reasoning to address open-ended challenges and identify opportunities to substantially improve how work is performed.
Join an early-stage AI company building post-training methods and infrastructure for production AI agents. In this research engineering role, you will connect machine learning research with practical systems, helping improve model quality, cost, and latency in real-world workflows.
Compensation
Base salary is $200,000 to $300,000 USD annually.
Responsibilities
Build evaluation suites, graders, and data pipelines using production workflows and traces
Lead post-training work, including data preparation, evaluations, reinforcement learning environments, and training runs
Implement agent environments and harnesses for reproducible experiments and training data generation
Run and analyze post-training experiments, reproduce promising research, and debug related systems
Turn successful experiments into reliable components for post-training and continual learning systems
Join a product engineering team building an AI-native application for scientific research and development. You will help bring core systems of record and agentic AI into a shared interface used by scientists in the materials and chemicals sectors.
Compensation
Base salary: $240,000 to $275,000 annually.
Responsibilities
Build the core application end to end, spanning data models, TypeScript and NestJS backend services, and React interfaces
Create dynamic, agent-operable views where AI can enter information, provide recommendations, and guide users through workflows
Connect product workflows for formulation, synthesis, master data management, administration, and process development with the AI layer in a GxP environment
Design enterprise-grade systems with permission-based access controls and safe scaling and migrations across DynamoDB, Databricks, and Python Flask services
Own features from product specification through iteration with product, design, and customers, and help establish AI-driven development practices
Partner with Sales leaders and stakeholders to transform data into actionable insights that improve business performance and support strategic decision-making.
Locations (3)
Neenah, Wisconsin, United States
Appleton, Wisconsin, United States
Oshkosh, Wisconsin, United States
Responsibilities
Identifies, analyzes and facilitates the implementation of new and enhanced technology to support area of responsibility
Work with business unit to define business needs, project requirements, system specifications, and deliverables
Coordinates activities and maintains on-going communication with management, technology team, end users, and other stakeholders
Coordinates decisions based on business requirements, system functionality, and best business practices
Sales Business AnalystNewJ. J. Keller & Associates, Inc. · Neenah, US+2 more