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Quantitative Trading Analyst Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

This role is suited to someone with strong quantitative reasoning, excellent decision-making under ... analysis of prices, outcomes, and trading decisions * Familiarity with market microstructure ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site

This role is suited to someone with strong quantitative reasoning, excellent decision-making under ... analysis of prices, outcomes, and trading decisions * Familiarity with market microstructure ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team. This is an ideal opportunity for ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team. This is an ideal opportunity for ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team. This is an ideal opportunity for ...

Initio Capital

Trading Analyst

New York, NY · Remote

$145K - $185K/yr

Build financial models and use quantitative analysis to support trade recommendations and improve trade execution strategies. * Risk Management Support: Monitor trade positions and market risk ...

Career Launch AI

Trading Analyst

New York, NY

$140K - $185K/yr

The role blends quantitative analysis, market awareness, and real-time decision support in fast-paced trading environments. These roles often involve close collaboration with traders, portfolio ...

Career Launch AI

Trading Analyst

New York, NY

$140K - $185K/yr

Quantitative Analyst (Quant) - Career Launch AI Talent Network Location: New York, NY Employment ... Develop, test, and implement quantitative models for pricing, trading strategies, or risk ...

Group One Trading

Trading Analyst

Chicago, IL · On-site

$100K - $120K/yr

Trading Analyst Location: Chicago Salary: $100,000 - $120,000 The Opportunity Group One is looking ... Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills ...

Group One Trading

Trading Analyst

Chicago, IL · On-site

$100K - $120K/yr

Trading Analyst Location: Chicago Salary: $100,000 - $120,000 The Opportunity Group One is looking ... Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills ...

Jobtailor

Trading Analyst

Alexandria, VA · On-site

Design and implement quantitative modeling frameworks to enhance decision-making * Collaborate with ... Numerical Analysis * Trading Strategies * Market Trend Monitoring Soft Skills * Collaborative ...

Group One Trading

Trading Analyst

Chicago, IL · On-site

$100K - $120K/yr

Trading AnalystLocation: ChicagoSalary: $100,000 - $120,000The OpportunityGroup One is looking for ... Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills ...

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Quantitative Trading Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative trading analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative trading analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a quantitative trading analyst?

A Quantitative Trading Analyst is a finance professional who uses mathematical models, statistical analysis, and computer programming to identify trading opportunities and develop trading strategies. They work with large data sets to interpret market trends and inform trading decisions. Quantitative Trading Analysts often collaborate with traders, software engineers, and risk managers to implement and refine their strategies. Their work is crucial in algorithmic and high-frequency trading environments, where speed and accuracy are essential for success.

How do quantitative trading analysts typically collaborate with software engineers and traders within a firm?

Quantitative Trading Analysts often work closely with both software engineers and traders to develop, implement, and refine trading strategies. Analysts design quantitative models and algorithms, which are then translated into code by software engineers. Regular communication ensures that the trading logic is accurately implemented and optimized. Additionally, collaboration with traders provides practical insights into market behavior and execution, helping analysts fine-tune their models for real-world performance. This cross-functional teamwork is essential for maintaining a competitive edge and adapting to rapidly changing markets.

What are the key skills and qualifications needed to thrive as a quantitative trading analyst, and why are they important?

To thrive as a Quantitative Trading Analyst, you need a strong background in mathematics, statistics, and programming, often supported by a degree in quantitative fields such as mathematics, physics, computer science, or finance. Familiarity with technical tools like Python, R, MATLAB, SQL, and trading platforms, as well as certifications such as CFA or FRM, is highly valued. Exceptional analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These competencies are crucial for developing, implementing, and communicating robust trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading Analyst vs Quantitative Research Analyst?

AspectQuantitative Trading AnalystQuantitative Research Analyst
Required CredentialsBachelor's or master's in finance, mathematics, or related fields; often CFA or CQFBachelor's or master's in finance, mathematics, or related fields; often CFA or CQF
Work EnvironmentFinancial firms, hedge funds, trading desksFinancial firms, hedge funds, asset managers
Employer & Industry UsageUsed in trading operations to develop and implement trading strategiesUsed in research teams to develop models and analyze markets

While both roles require strong quantitative skills and similar credentials, Quantitative Trading Analysts focus on executing and optimizing trading strategies in live markets, whereas Quantitative Research Analysts concentrate on developing models and conducting research to inform trading decisions. Both roles are integral to quantitative finance but differ in their primary focus and daily responsibilities.

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Quantitative Trading Analyst jobs near you
Infographic showing various Quantitative Trading Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Trading Analyst

San Francisco, CA • On-site, Remote

Swish Analytics
Spectator Sports • 1 - 10 employees
Learn more about Swish Analyticsexternal

Full-time

Re-posted 17 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, predictive, real-time data who can execute in a fast-paced, creative, and continually evolving environment without sacrificing technical excellence.
Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems.
Job Description
Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation.
In this role, you will work at the intersection of sports intelligence, pricing strategy, and live market behaviour. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity.
This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate pricing in the competitive sports betting environment.
You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US.
Duties
  • Monitor live sports markets and market activity in real time across a range of sports and market types
  • Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information
  • Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information
  • Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour
  • Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events
  • Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling
  • Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates
  • Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams
  • Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales
  • Detect sharp or informative market activity and ensure useful signals are fed back into Swish's proprietary models and pricing systems
  • Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models
Requirements
  • Bachelor's degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience
  • Must have demonstrated professional experience in exchange-style environments, sports trading, sports betting, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter
  • Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk
  • Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value
  • Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events
  • Comfortable working autonomously across global event schedules, including weekends and major tournament periods
  • Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment
Preferred (but not essential)
  • Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued
  • Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer
  • Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions
  • Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality
  • Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement
  • Experience using modern AI tools to accelerate analysis, research, and modelling workflows
Why Join
This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals.
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Trading Operations Locations San Francisco, CA - Remote, Malta - Remote, Spain - Remote, United Kingdom - Remote Remote status Fully Remote

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