Entry Level Quant Researcher Jobs
New grad quant researcher jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of modeling work or a relevant internship can matter more than years on a resume. Most openings are on-site roles concentrated in Investment & Asset Management, with employers like PDT Partners, Goliath Partners, and Anthelion Capital hiring at this level now.
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Chicago Competitive Permanent
We are currently partnering with a leading proprietary trading firm specializing in market making across commodities, interest rates, ETFs, and equity index options. The firm combines quantitative research, advanced technology, and systematic trading to identify market opportunities and develop profitable trading strategies.
Within this role, you would join the Quantitative Research & Development team, working closely with traders and developers to develop, test, and implement quantitative models that directly impact trading performance.
Role: Quantitative Researcher
Essential Requirements:
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or a related discipline.
- 2+ years of experience in quantitative research within trading or a related field.
- Strong proficiency in Python or C++ for quantitative modeling, research, and implementation.
- Experience working with large datasets, statistical modeling, and algorithmic workflows.
- Ability to translate research findings into practical, deployable trading strategies.
Beneficial Experience Preferred:
- Experience with market microstructure, market making, or systematic trading.
- Experience building research tools, backtesting frameworks, and model validation systems.
- Familiarity with collaborative software development and version control.
If interested, please apply and Goliath will be in touch!
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Top Industries Hiring
- Investment & Asset Management
Entry Level Quant Researcher Jobs: Frequently Asked Questions
How do I get an entry level quant researcher job?
Entry level quant researcher roles reward candidates who can demonstrate applied skills directly. A portfolio showing original modeling work, programming projects in Python or R, or a strong internship in a quantitative role carries real weight. Employers at this level look for proficiency in statistics, stochastic calculus, and data analysis, so coursework, capstone projects, and open-source contributions all serve as credible signals when professional experience is limited.
Which companies hire entry level quant researchers?
Companies hiring entry level quant researchers right now include PDT Partners, Goliath Partners, and Anthelion Capital, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large financial institutions, proprietary trading firms, hedge funds, and technology companies with quantitative research functions.
Are there remote entry level quant researcher jobs?
Yes, though on-site roles are more common at the entry level. About 25% of entry level quant researcher openings are remote or hybrid as of November 2026, reflecting the collaborative and mentorship-heavy nature of early-career quant roles. Hybrid arrangements are especially common at larger firms where new researchers work closely with senior team members during onboarding.
Are these new grad quant researcher jobs?
Yes, the listings here include new grad, recent graduate, and junior quant researcher roles alongside other entry level postings. A new grad friendly posting typically welcomes zero to two years of experience, accepts internships or academic research as qualifying background, and treats a strong portfolio or relevant thesis work as a substitute for full-time professional history. Searching for junior or new grad quant researcher roles surfaces the same pool.
Which industries hire the most entry level quant researchers?
Entry Level quant researcher roles concentrate in Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they rely on quantitative modeling, algorithmic strategies, and large-scale data analysis, functions where firms regularly recruit directly from graduate programs in mathematics, statistics, physics, and financial engineering.