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Quantitative Finance Graduate Jobs (NOW HIRING)

UBS

Quantitative Analyst

New York, NY · On-site

$145K - $172K/yr

Your expertise • strong academic background in a quantitative field (mathematics, physics, engineering, etc) - Post-Graduate degree • excellent understanding of quantitative finance, modelling ...

Franklin Templeton

Quantitative Developer

Pasadena, CA · On-site

$140K - $170K/yr

Minimum 3 years of experience in a technical role within a quantitative finance or investment ... Additional post graduate qualifications such as MFE or CFA. Franklin Templeton offers employees a ...

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Quantitative Finance Graduate information

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$146K

How much do quantitative finance graduate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quantitative finance graduate in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a quantitative finance graduate?

Quantitative Finance Graduates are individuals who have recently completed advanced studies—such as a master's or PhD—in quantitative finance or related fields like mathematics, statistics, or financial engineering. They typically possess strong analytical and programming skills, enabling them to analyze financial markets, develop pricing models, and manage risk. Most often, they pursue roles in investment banks, hedge funds, asset management firms, or fintech companies, where they apply quantitative methods to solve complex financial problems. The graduate designation indicates they are at the early stage of their professional careers, often starting in analyst or associate positions.

What is the difference between Quantitative Finance Graduate vs Quantitative Analyst?

AspectQuantitative Finance GraduateQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or related field; often entry-levelDegree plus experience; sometimes certifications like CFA or CQF
Work EnvironmentInternships, entry-level roles in finance firms, banks, hedge fundsMid-level to senior roles in similar environments, more responsibility
Employer & Industry UsageFinancial institutions, asset management, investment banksSame as above, with more specialized roles

The main difference is that a Quantitative Finance Graduate is typically an entry-level candidate with relevant education, while a Quantitative Analyst usually has more experience and takes on more complex analysis tasks within the same industry.

What do quantitative finance graduates do?

As a Quantitative Finance Graduate, you can expect to work on a variety of projects such as developing pricing models, conducting risk analysis, and analyzing large financial datasets. You'll likely collaborate closely with traders, risk managers, and software developers to implement quantitative strategies and improve existing financial models. Many graduates also participate in rotational programs, which provide exposure to different teams and methodologies within the organization. This collaborative and fast-paced environment helps you quickly build both technical and business acumen, laying a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as a quantitative finance graduate?

To thrive as a Quantitative Finance Graduate, you need a solid background in mathematics, statistics, and finance, often supported by a relevant degree such as mathematics, physics, engineering, or finance. Familiarity with programming languages like Python, R, or MATLAB, and proficiency in quantitative modeling tools, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills set standout candidates apart. These skills are essential for developing and implementing sophisticated financial models, interpreting complex data, and collaborating with multidisciplinary teams in fast-paced financial environments.
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What job categories do people searching Quantitative Finance Graduate jobs look for? The top searched job categories for Quantitative Finance Graduate jobs are:
Quantitative Finance Graduate jobs near you
Infographic showing various Quantitative Finance Graduate job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Graduate Quantitative Developer

DeepFin Research

Manhattan, NY • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
DeepFin Research is a systematic proprietary trading firm focused on integrating deep learning with quantitative research methods and advanced trading technology. They are seeking a Junior Quant Developer to help productionise research into high-performance trading systems, collaborating closely with Quant Researchers and senior engineers to convert Python code into production C++ and improve backtesting infrastructure.
Responsibilities:
• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.
Qualifications:
Required:
• Education: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.
• 0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++
• Strong working knowledge of C++ (memory, ownership, STL, performance-aware coding).
• Experience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).
• Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).
• Exposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.
• Clear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.
Company:
DeepFin Research deploys ML driven systematic models across the Global financial markets. Founded in 2023, the company is headquartered in London, GBR, with a team of 11-50 employees. The company is currently Early Stage.

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