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Desk Quant Jobs (NOW HIRING)

Educate desk users and stakeholders on new tools and best practices for adoption. Rates Quant / Analytics (Core) * Develop and enhance pricing and risk models for linear rates derivatives (e.g ...

Support, and where needed serve as a back-up for, the Risk Arbitrage desk - independently ... Stay current on developments in quantitative finance, market microstructure, and macroeconomic ...

The Role: * Joining or building a desk where you will research and trade alphas based on the ... quant methods for the research and optimisation of strategies. * You will need to be a confident ...

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Independently manage and optimize a trading portfolio in alignment with desk strategy and risk ...

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Independently manage and optimize a trading portfolio in alignment with desk strategy and risk ...

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Desk Quant information

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How much do desk quant jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for desk quant in the United States is $23.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.96 per hour, depending on experience, location, and employer.

How much do desk quants make?

Desk quants, or quantitative analysts working on trading desks, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation depends on experience, firm size, location, and performance, and often includes bonuses and profit-sharing components.

What are the key skills and qualifications needed to thrive as a Desk Quant, and why are they important?

To thrive as a Desk Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in quantitative disciplines such as math, physics, engineering, or finance. Proficiency with programming languages like Python, C++, or R, as well as experience with financial modeling platforms and risk management systems, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart in this role. These skills and qualities are crucial for developing robust trading strategies, managing risk, and collaborating effectively with traders and other stakeholders in fast-paced financial environments.

How does a Desk Quant typically collaborate with traders and other team members on a trading floor?

Desk Quants work closely with traders to develop, implement, and refine quantitative models that inform trading strategies and risk management. They often spend their days analyzing large datasets, backtesting strategies, and responding to real-time market events by providing actionable insights. Effective communication and a collaborative mindset are essential, as Desk Quants must translate complex quantitative findings into practical recommendations for traders and sometimes IT or risk teams. This fast-paced, interactive environment offers continuous learning opportunities and the chance to see direct impacts of your work on trading outcomes.

What is a Desk Quant?

A Desk Quant, short for 'desk quantitative analyst,' is a finance professional who works directly with trading desks to develop mathematical models and tools that assist traders in pricing, risk management, and strategy development. Unlike research quants who focus on long-term projects or theoretical models, desk quants provide real-time support and solutions for immediate trading needs. Their work involves programming, statistical analysis, and collaboration with traders to optimize trading strategies and manage risk. Desk quants often work in fast-paced environments and require strong analytical and communication skills.
More about Desk Quant jobs

VP - GenAI Quant Developer

Bank of America

New York, NY

$200K - $225K/yr

Full-time

PTO

Posted 2 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.


Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

The New York Rates Quantitative Strategy Data Group is seeking an individual to join the team. We provide analytical and model support across all NY Rates businesses, including exotics, options, swaps, governments, agency, repo, structured notes, and inflation, as well as key partner functions such as finance, risk management, and middle office.

In parallel with the rapid emergence of Generative AI, the group is expanding its capabilities to build and deploy LLM- and agent-based tools that enhance the way Rates desks price, hedge, manage risk, and interact with clients. The current position will focus primarily on linear rates derivatives, while also contributing to the broader Rates analytics platform and an embedded AI initiative within Global Markets.

This is a high-impact role operating in a trading-floor environment, interfacing with trading, sales, technology, and senior stakeholders.

Responsibilities:

  • Generative AI / LLM & Agentic Systems (Embedded AI Initiative)

  • Design, prototype, and deploy LLM-powered applications for the Rates business, e.g.:
    • Workflow automation for pricing, risk checks, data QA, and post-trade analysis.
    • Trade idea generation and scenario tooling,
  • Build agentic workflows (and/or similar orchestration frameworks) to create reliable, multi-step reasoning systems with tool use (pricing engines, risk calculators, data APIs).
  • Research and evaluate new models/methods (prompting, fine-tuning, embeddings, evaluation harnesses, guardrails) and develop lightweight prototypes that can be productionized.
  • Partner with tech, support partners and the business to ensure AI solutions are safe, compliant, and aligned with front-office needs, including appropriate monitoring and model risk controls.
  • Educate desk users and stakeholders on new tools and best practices for adoption.

Rates Quant / Analytics (Core)

  • Develop and enhance pricing and risk models for linear rates derivatives (e.g., swaps, FRAs, futures, treasuries) and associated curve/market data analytics.
  • Integrate models and analytics into the firm's trading and risk systems, ensuring performance, stability, and governance.
  • Provide tactical desk support for pricing, risk, hedging, and trade analysis; respond to ad-hoc analytics requests in a fast-paced environment.
  • Analyze and support new products, model changes, and analytics enhancements across the Rates platform.
  • Contribute to the overall Rates analytics stack, including libraries, tooling, documentation, testing, and production support.

Skills Desired:

  • Python, with production-quality engineering practices.
  • LLMs and agent frameworks: LangGraph, LangChain, OpenAI-compatible APIs, multi-agent orchestration.
  • AI/ML: deep learning, NLP, embeddings, RAG, classical ML.
  • Data & infrastructure: SQL, vector databases, time-series data, cloud-native or distributed systems.
  • Quant finance: yield curve construction, swap pricing, rates volatility, risk and scenario analysis.
  • Software engineering: APIs, model deployment, monitoring, and scalable architecture.

Minimum Education Requirement: Master's degree in related field or equivalent work experience

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)Pay and benefits informationPay range$200,000.00 - $225,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.