AI/ML Lead

Company Description

Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.

Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For .

Workplace Posters | U.S. Department of Labor

Group Details

We are seeking an experienced AI/LLM Engineer to design and build intelligent, language-driven agentic systems that translate user intent into structured execution workflows and. This role sits at the intersection of large language models, data science, and electronic trading, with a focus on building scalable, accurate, and explainable AI-powered decision systems.

Job Responsibilities

LLM Integration & Prompt Architecture

Design and own the integration between conversational AI agents and external large language model APIs

Develop and continuously refine prompt architectures that translate natural language into structured system actions and parameters

Build confirmation and validation flows to ensure outputs are accurate, explainable, and auditable

Establish and maintain high standards for interpretation accuracy at scale

Intent Parsing & Natural Language Processing

Build systems that reliably map user instructions into structured parameters across varied phrasing, domains, and strategies

Define evaluation frameworks to measure and improve NLP performance

Handle ambiguity, edge cases, and fallback scenarios while maintaining user trust

Intelligent Recommendation Systems

Design and develop engines that proactively recommend optimized configurations or actions based on historical behavior, real-time conditions, and benchmark data

Incorporate multiple data sources to generate insights that outperform manual decision-making

Continuously improve recommendation quality through feedback and iteration

Feedback Loops & Model Improvement

Build mechanisms that leverage post-action or post-trade analytics to refine system recommendations over time

Enable adaptive learning based on performance outcomes across different market or operational conditions

Benchmarking & Data-Driven Insights

Collaborate with data and quantitative teams to develop anonymized benchmarking models

Define statistical methodologies for performance comparison and optimization

Ensure privacy, aggregation, and data governance standards are met

Translate complex analytics into actionable outputs within AI-driven systems

Conversational Analytics

Enable natural language interaction with complex datasets

Build systems that interpret user queries, retrieve relevant data, and generate accurate, synthesized insights

Support use cases such as performance analysis, comparisons, and trend identification through conversational interfaces

Chatbot deployment management

Deliver product demonstrations to clients and internal teams

Manage user access provisioning and provide technical onboarding support

Advise clients on prompt engineering best practices to maximise platform value

Gather, document, and prioritise client feedback to inform AI chatbot enhancements, including direct resolution of issues where possible

Qualifications

5+ years of experience in applied ML or AI engineering, with at least 2 years working directly with large language models in production

Deep hands-on experience with LLM integration — prompt engineering, tool use, structured output, evaluation frameworks, and hallucination mitigation

Strong Python — this is the primary development language for the agent layer and the SDK

Experience building systems that translate unstructured natural language into structured, actionable outputs in a production environment

Comfort working in a regulated industry where every model output needs to be explainable and auditable

Ability to own a technical workstream end-to-end — architecture decisions, implementation, and quality bar

Additional Information

Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer:

Health Insurance : Highly competitive medical, dental, and vision programs

Hybrid Environment : Our employees have the flexibility of working in the office and from home.

Health Care and Dependent Care Flexible Spending Accounts : You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.

Maven Family Building Benefit : Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses.

Building Wealth - 401(k) Savings Plan : Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.

The current pay range for this role is currently $ to $ per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, and internal guidelines.

This role will also be eligible to participate in Tradeweb’s discretionary bonus program.

This role is expected to remain open until date .

Other Benefit Programs

Pre-Tax Commuter Benefits Program

ARAG Legal Services

Employee Assistance Program

Tuition Reimbursement

Financial Wellness Tools

Travel Assistance Benefits

Pet Insurance

Corporate Gym Subsidies

Wellness Perks

Paid Time Off and Parental Leave