Entry Level Quantitative Trading Analyst Jobs
New grad quantitative trading analyst jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of personal projects or internship work in quantitative research or trading often carries more weight than a lengthy resume. Most openings are on-site roles concentrated in Fintech, Banking & Financial Services, and Investment & Asset Management, with employers like JPMorganChase and BestEx Research hiring at this level now.
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Showing 5 of 6+ Entry Level Quantitative Trading Analyst jobs
INTRODUCTION
BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model. Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets. BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems. Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes.
ABOUT THE ROLE
We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development. In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform. Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage.
SPECIFICALLY, YOU WILL:
- Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
- Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work.
- Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
- Gain experience testing and supporting our trading product.
- Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams.
- Develop communication and presentation skills for internal and client-facing interactions.
- Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes.
BASIC QUALIFICATIONS
- Bachelor’s, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline.
- Strong foundation in probability, statistics and data analysis.
- Strong analytical mindset and problem-solving skills with high attention to details.
- Working knowledge of Python/R and SQL.
- Excellent written and verbal communication skills.
- Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment.
- Willingness to work in person daily in our office in Stamford, CT
INTRODUCTION
BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model. Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets. BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems. Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes.
ABOUT THE ROLE
We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development. In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform. Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage.
SPECIFICALLY, YOU WILL:
- Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
- Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work.
- Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
- Gain experience testing and supporting our trading product.
- Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams.
- Develop communication and presentation skills for internal and client-facing interactions.
- Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes.
BASIC QUALIFICATIONS
- Bachelor’s, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline.
- Strong foundation in probability, statistics and data analysis.
- Strong analytical mindset and problem-solving skills with high attention to details.
- Working knowledge of Python/R and SQL.
- Excellent written and verbal communication skills.
- Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment.
- Willingness to work in person daily in our office in Stamford, CT
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Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Technology & Software
Entry Level Quantitative Trading Analyst Jobs: Frequently Asked Questions
How do I get an entry level quantitative trading analyst job?
Entry level quantitative trading analyst roles reward candidates who demonstrate hands-on skills over credentials alone. Employers at this stage look for proficiency in Python or C++, familiarity with statistical modeling, and evidence of applied work such as a personal trading strategy, a research project, or a relevant internship. Completing a finance or data-focused internship, building a GitHub portfolio, and targeting firms with structured junior programs gives new candidates a measurable edge.
Which companies hire entry level quantitative trading analysts?
Companies hiring entry level quantitative trading analysts right now include JPMorganChase and BestEx Research, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including proprietary trading firms, hedge funds, investment banks, and fintech companies that run structured new grad or junior analyst programs.
Are there remote entry level quantitative trading analyst jobs?
Yes, though remote availability is more limited than in some other analytical fields given the real-time, collaborative nature of trading environments. About 0% of entry level quantitative trading analyst openings are remote or hybrid as of November 2026, so candidates flexible on location will find the widest range of opportunities, particularly at technology-forward firms and fintech employers.
Are these new grad quantitative trading analyst jobs?
Yes, listings on this page include new grad, recent graduate, and junior quantitative trading analyst roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internships or academic projects as qualifying background, or explicitly invites candidates with a strong quantitative portfolio rather than years of professional trading experience. These roles are designed for people entering the field for the first time.
Which industries hire the most entry level quantitative trading analysts?
Entry Level quantitative trading analyst roles concentrate in Fintech, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive junior hiring because they rely on quantitative modeling, algorithmic strategies, and data-intensive research workflows that benefit from bringing new analytical talent in at the ground level.