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Graduate Quant Jobs in New York (NOW HIRING)

Flow Traders

Graduate Quantitative Trader

New York, NY

$175K/yr

Through quantitative coursework, trading simulations, and instruction from Senior Traders and Quantitative Researchers, you will develop the skills needed to make informed, split-second decisions in ...

Flow Traders

Graduate Quantitative Trader

New York, NY · On-site

$175K/yr

Through quantitative coursework, trading simulations, and instruction from Senior Traders and Quantitative Researchers, you will develop the skills needed to make informed, split-second decisions in ...

Barnard College

Graduate Assistant (ERC)

New York, NY · On-site

$33/hr

Job: Graduate Assistant (ERC) We are hiring a Graduate Assistant (GA) with a focus on Data for ... Each GA will specialize in one of three areas (quantitative methods, GIS and spatial analysis, or ...

Barnard College

Graduate Assistant (ERC)

New York, NY · On-site

$33/hr

Job: Graduate Assistant (ERC) We are hiring a Graduate Assistant (GA) with a focus on Data for ... Each GA will specialize in one of three areas (quantitative methods, GIS and spatial analysis, or ...

IMC

Quantitative Researcher - Equities

New York, NY · On-site

$250K - $300K/yr

Relevant tertiary qualifications (graduate or post graduate), with strong academic results ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

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Graduate Quant information

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What is a graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in New York? For Graduate Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Graduate Quant jobs in New York look for? The top searched job categories for Graduate Quant jobs in New York are:
What cities in New York are hiring for Graduate Quant jobs? Cities in New York with the most Graduate Quant job openings:
Graduate Quant jobs near you
Infographic showing various Graduate Quant job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Graduate Quantitative Developer

DeepFin Research

Manhattan, NY • On-site

Full-time

Re-posted 14 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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