Junior Quantitative Developer at Tower Research Capital

Shanghai, Shanghai, China

Tower Research Capital Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Quantitative FinanceIndustries

Skills

Key technologies and capabilities for this role

PythonnumpyPandasArrowData EngineeringData ProcessingData Quality AssuranceAnomaly DetectionData ArchivingData MiningQuantitative ResearchTrading

Questions & Answers

Common questions about this position

What is the salary for the Junior Quantitative Developer position?

This information is not specified in the job description.

Is this role remote or onsite?

The position is onsite.

What skills are required for this Junior Quantitative Developer role?

Candidates need a Bachelor’s degree or higher in computer science or related field, 1-3 years of professional programming experience, and proficiency in Python and its scientific computing ecosystem like numpy, Pandas, and Arrow.

What is the work environment like at Tower Research Capital for this role?

The role requires being fast, rigorous, and critical in thinking, an effective communicator with strong teamwork, and the ability to thrive in a fast-paced environment.

What makes a strong candidate for the Junior Quantitative Developer position?

Strong candidates have 1-3 years of professional programming experience, proficiency in Python's scientific computing tools, and personal attributes like rigorous thinking, effective communication, teamwork, and the ability to thrive in a fast-paced environment; pluses include data engineering, financial data, ML, or quant research knowledge.

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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