Quantitative Trader, High Frequency Cash Equities

Radley James; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Join a dynamic and growing quantitative trading firm as a Quantitative Trader specializing in high-frequency cash equities. This innovative firm offers the flexibility of fully remote work from anywhere in the US and is eager to expand its elite trading teams. You'll leverage your quantitative research skills and trading experience to contribute to the success of the firm, which prides itself on high-performance trading software and a collaborative environment. If you have a proven PnL track record and a passion for finance, this is the perfect opportunity to elevate your career in a thriving sector.

Qualifications

• Mindset for quantitative research and trading with a strong PnL track record.
• Experience in high-frequency trading is highly valued.

Responsibilities

• Conduct quantitative research and trading in cash equities and futures.
• Collaborate with elite trading teams and technologists.

Skills

Quantitative Research

Trading

Python

R

Matlab

Job description

Quantitative Trader, High Frequency Cash Equities

This opportunity is working for a medium sized high frequency quantitative trading firm based in the San Francisco Bay Area, but have offices in New York and Chicago.

This role can be fully remote from anywhere in the US.

Due to the success of this year, this firm is keen to expand a number of their high frequency Quant Trading groups. The products of interest are cash equities and futures across various products. These trading teams are kept small and elite with seasoned front office technologists ready to assist with whatever is required. The CTO is one of the co-founders of the firm, so attention to high performance trading software is certainly there.

Requirements:

• At least 2 years of quantitative research/trading for a successful business, ideally prop trading.
• PnL track record for the past year at least seven figures to attract interest.
• Ability in technologies such as Python, R, Matlab.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research and Finance
• Industries: Financial Services and Investment Management

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