High Frequency Quantitative Researcher

Venture Search; United States; On-site; USD 100,000 - 200,000; Full time

Job summary

A leading proprietary trading firm in New York is seeking a Quantitative Researcher to enhance their team. This role focuses on leveraging technology and statistical methods in finance, encouraging a collaborative and autonomous environment. Candidates should possess strong Python coding skills, a solid understanding of statistical modeling, and experience with large datasets. Prior knowledge of finance is beneficial but not essential. The position offers a competitive salary range of $100,000 to $200,000 per year.

Qualifications

• Currently working in a fast-paced, data-intensive environment.
• Demonstrated experience applying statistical techniques or machine learning.
• Highly detail-oriented with strong analytical thinking.

Skills

Strong coding ability in Python

Experience with C++

Solid understanding of statistical modelling

Comfortable working with large datasets

Strong communication skills

Job description

Quantitative Researcher – High Frequency Prop Firm

Location: New York

Venture Search is partnered with a high-performing proprietary trading firm operating globally across equities and futures markets. The firm leverages cutting‑edge research, data‑driven strategy development, and fast feedback loops to consistently deliver results in highly competitive markets.

They’re looking to grow their Quantitative Research team with individuals who thrive at the intersection of technology, statistics, and financial markets. This is an opportunity to contribute directly to a lean, elite trading team where collaboration and autonomy go hand in hand.

Base Pay Range

$100,000.00/yr – $200,000.00/yr

Experience

• Currently working in a fast‑paced, data‑intensive environment – from a hedge fund, proprietary trading firm, or research‑focused tech company
• Demonstrated experience applying statistical techniques or machine learning to real‑world problems
• Background in building or improving trading models, pricing systems, or other complex decision‑making tools
• Prior experience in finance is a plus, but not essential – technical excellence and curiosity are key

Requirements

• Strong coding ability in Python, with exposure to numerical or scientific computing libraries; experience with C++ is beneficial
• Confident working with large datasets and designing clean, reproducible research pipelines
• Solid understanding of statistical modelling and familiarity with predictive techniques
• Comfortable working in a Unix/Linux‑based environment
• Highly detail‑oriented with strong analytical thinking and a methodical approach to research
• Strong communication skills – able to clearly present findings, collaborate with teammates, and iterate on ideas quickly

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Finance