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Junior Quant Developer Jobs (NOW HIRING)

ThinkTek

Quantitative Analyst - Junior Level

Alexandria, VA · On-site

$55K - $70K/yr

Quantitative Analyst - Junior Level Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a ... Proficiency in object-oriented programming (Python, R, MATLAB, Java, C++, or C#) * Familiarity with ...

ThinkTek

Quantitative Analyst - Junior Level

Alexandria, VA · On-site

$55K - $70K/yr

Quantitative Analyst - Junior Level Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a ... Proficiency in object-oriented programming (Python, R, MATLAB, Java, C++, or C#) * Familiarity with ...

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How much do junior quant developer jobs pay per year?

As of May 30, 2026, the average yearly pay for junior quant developer in the United States is $106,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is a Junior Quant Developer job?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What are the key skills and qualifications needed to thrive in the Junior Quant Developer position, and why are they important?

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What kinds of projects and tasks can a Junior Quant Developer expect to work on?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.
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Junior Quant Developer jobs near you
Infographic showing various Junior Quant Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,825 per year, or $51.4 per hour.
Engineering - New York - Vice President, Quantitative Engineering - 049539

Engineering - New York - Vice President, Quantitative Engineering - 049539

Goldman Sachs, Inc.

New York, NY • On-site

$153K - $276K/yr

Full-time

Posted 9 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, NY (Multiple positions available). Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process. Mentor junior and mid-level team members.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and three (3) years of experience in the job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and five (5) years of experience in the job offered or a related quantitative engineering role OR Doctorate (Ph.D.) degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research, or related quantitative field and one (1) year of experience in the job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with Master's degree) OR five (5) years of experience (with Bachelor's degree) OR one (1) year of experience (with PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.
Salary Range: Annual base salary for this New York, New York -based position is $153,000 - $276,000.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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