Mid-level Quantitative Researcher

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

Requirements

Candidates must have 3-5 years of work experience in systematic alpha research or equity trading. A good track record of innovative thinking and problem solving is essential. Candidates should hold advanced degrees from top universities in science and engineering, preferably in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics. Formal training in independent academic research is required. Proficiency in at least one of the following programming languages - C/C++ or Python/R is necessary. Strong communication skills, rigor, patience, and a sense of teamwork are important, along with a high level of motivation to work in a fast-paced environment.

Responsibilities

The Mid-level Quantitative Researcher will apply rigorous statistical analysis to large volumes of market and financial data to create predictive trading models and strategies. They will perform full research and development cycles for global equity quantitative trading, which includes idea generation, data cleaning, strategy backtesting, portfolio optimization, risk management, and production monitoring.

Skills

C/C++

Python

Statistical Analysis

Data Cleaning

Strategy Backtesting

Portfolio Optimization

Risk Management

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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