Junior Quantitative Researcher

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, Data & AnalyticsIndustries

Requirements

Applicants must have advanced degrees from top universities in science and engineering, preferably in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics. They should have formal training in independent academic research and 1-3 years of work experience in systematic alpha research or equity trading. Proficiency in at least one programming language such as C/C++ or Python/R is required. A solid understanding of data science and knowledge of statistical modeling, machine learning, econometrics, or optimization is necessary. Candidates should demonstrate critical thinking, effective communication skills, and the ability to work collaboratively in a fast-paced environment.

Responsibilities

The Junior Quantitative Researcher will support and improve existing trading strategies. They will assist senior quantitative researchers in the design, research, and development of quantitative strategies across global futures, stock, options, and cryptocurrency markets. The role involves statistically analyzing large-scale tick-by-tick financial data to extract alpha patterns.

Skills

C/C++

Python

Statistical Modeling

Machine Learning

Econometrics

Optimization

Data Science

Tick-by-tick data analysis

Alpha patterns

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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