Quantitative Trading & Research - Applied Researcher - Agentic AI Systems - Associate

Fairygodboss; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

Fairygodboss is seeking an Associate Applied Researcher to join their Quantitative Trading & Research (QTR) Team. This position involves building and integrating advanced GenAI capabilities into systems for client engagement.

The ideal candidate will have strong coding skills in Python, an advanced degree in a related field, and hands-on experience with LLMs. The role emphasizes applied research, production engineering, and collaboration across teams.

Qualifications

• Strong coding skills in Python and owning production code.
• Experience with agent frameworks and modern GenAI capabilities.
• Demonstrated ML/AI systems that improved user metrics.

Responsibilities

• Design, prototype, and productionize LLM agents.
• Evaluate and integrate emerging techniques into production.
• Build and maintain robust, scalable production systems.

Skills

Strong coding skills (Python preferred)

Hands-on experience building with LLMs

Strong understanding of modern GenAI capabilities

Ability to explain technical tradeoffs to non-technical stakeholders

Bias to action; comfortable working in ambiguity

Education

Advanced degree in Computer Science, Data Science, Machine Learning

Tools

LLM frameworks

Evaluation frameworks

Job description

Job Summary

As an Associate Applied Researcher in the Quantitative Trading & Research (QTR) Team, you’ll sit at the intersection of applied research and production engineering turning frontier GenAI capabilities into reliable, high-leverage agentic systems that transform how we respond to inbound client requests.

Job Responsibilities

• Build agentic systems end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses
• Drive applied research by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production
• Own the full loop from problem framing and dataset construction through model/agent design, evaluation, deployment, and monitoring
• Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes
• Partner cross-functionally with sales, quant research, trading, product, and engineering to deeply understand RFQ/client workflows and ship adopted solutions
• Build and maintain production-grade code and systems that are observable, robust, and scalable
• Contribute to technical direction and standards for agent design, evaluation, and safe deployment

Required Qualifications, Capabilities, and Skills

• Strong coding skills (Python preferred) and comfort owning production code
• Advanced degree in Computer Science, Data Science, Machine Learning, or related field.
• Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals)
• Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies
• Demonstrated applied research track record delivering ML/AI systems that moved a real business or user metric
• Ability to explain technical tradeoffs to non-technical stakeholders and write clearly
• Bias to action; comfortable working in ambiguity with rapidly evolving requirements
• Strong ownership mindset with a focus on improving what’s broken without waiting for permission

Preferred Qualifications, Capabilities, and Skills

• Experience with Equity Derivatives and Pricing
• Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models
• Experience scaling an agentic prototype into a production system used by real users
• Experience designing and operating monitoring/QA processes for LLM outputs (quality, safety, reliability)

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

EEO Statement

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.