Mid-level Quantitative Researcher at Tower Research Capital

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

C/C++PythonRStatistical AnalysisData CleaningStrategy BacktestingPortfolio OptimizationRisk Management

Questions & Answers

Common questions about this position

What is the salary for this Mid-level Quantitative Researcher position?

This information is not specified in the job description.

Is this role remote or onsite?

The position is onsite.

What skills and experience are required for this role?

Candidates need 3-5 years of experience in systematic alpha research/equity trading, advanced degrees (Master's or Ph.D.) in fields like Statistics, Mathematics, or Computer Science, proficiency in C/C++, Python, or R, and skills including good communication, rigor, patience, teamwork, motivation, and ability to work in a fast-paced environment.

What kind of work environment can I expect at Tower Research Capital?

The role requires the ability to work in a fast-paced environment with a strong sense of teamwork.

What makes a strong candidate for this quantitative researcher position?

Strong candidates will have 3-5 years in systematic alpha research or equity trading, advanced degrees from top universities in quantitative fields, formal academic research training, and proficiency in C/C++, Python, or R, along with soft skills like communication, rigor, patience, teamwork, motivation, and fast-paced adaptability.

Tower Research Capital

High-frequency trading and technology solutions

About Tower Research Capital

Tower Research Capital operates in the financial markets by providing high-frequency trading services. The company uses advanced technology and algorithms to execute trades at very high speeds, allowing it to take advantage of small price discrepancies in the market. Its main clients are institutional investors, hedge funds, and other financial entities that need fast and reliable trading solutions. Tower Research Capital's business model focuses on generating profits through proprietary trading strategies and executing a large volume of trades with minimal delay. The company continually invests in research and development to stay ahead of its competitors in the high-frequency trading industry.

New York City, New YorkHeadquarters

1998Year Founded

$60MTotal Funding

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

5 weeks of paid vacation per year

401(k) with company matching

Free meals and snacks

Reimbursement for health and wellness expenses

Risks

Talent drain to competitors may impact Tower's competitive edge in high-frequency trading.

Increased competition from new trading platforms could challenge Tower's market share.

Diversification into ventures like Sporttrade might divert focus from core trading activities.

Differentiation

Tower Research Capital excels in high-frequency trading with advanced algorithms and technology.

The firm offers rapid and reliable trading solutions for institutional investors and hedge funds.

Tower Research Capital continuously invests in R&D to maintain its competitive edge.

Upsides

Increased focus on AI-driven trading strategies enhances Tower's algorithmic capabilities.

Tower's investment in blockchain technology improves transaction speed and security.

Collaboration with academic institutions boosts algorithm development and innovation.

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