Junior Quantitative Developer at Tower Research Capital

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Quantitative FinanceIndustries

Skills

Key technologies and capabilities for this role

PythonNumPyPandasArrowData EngineeringFinancial DataMachine LearningQuantitative ResearchData AnalysisData MiningCritical ThinkingCommunicationTeamwork

Questions & Answers

Common questions about this position

What is the salary for this Junior Quantitative Developer position?

This information is not specified in the job description.

Is this role remote or onsite?

This is an onsite position.

What skills are required for this role?

Proficiency in Python and its scientific computing ecosystem (NumPy, Pandas, Arrow, etc.) is required, along with 1-3 years of professional programming experience. A Bachelor’s degree or higher in Computer Science or related field is also needed, plus fast, rigorous thinking, communication, and teamwork skills.

What kind of work environment can I expect?

The role requires being highly motivated and adaptable to a fast-paced environment.

What makes a strong candidate for this position?

Candidates with a Bachelor’s in Computer Science, 1-3 years of programming experience, Python proficiency, and pluses like data engineering, financial data, ML, or quant research knowledge stand out. Strong critical thinking, communication, teamwork, and adaptability to fast-paced settings are key.

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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