Junior Quantitative Engineer

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Quantitative Finance, Financial EngineeringIndustries

Requirements

Candidates should possess a Bachelor’s degree or higher in Computer Science, Financial Engineering, or a related technical field, with 1-3 years of professional programming experience in production environments. Proficiency in C++ or Python programming languages is required, and familiarity with modern data engineering ecosystems is a plus, along with prior experience handling financial data and quantitative research/trading experience being preferred.

Responsibilities

The Junior Quantitative Engineer will implement and maintain strategy models, improve strategy backtesting frameworks, develop quantitative research toolchains, maintain quantitative databases, and develop strategy monitoring & risk analysis tools. They will also deploy strategy code and optimize execution logic, demonstrating the ability to think critically, rapidly, and rigorously, while communicating effectively and thriving in a fast-paced team environment.

Skills

C++

Python

Data Engineering

Financial Data

Quantitative Research

Strategy Modeling

Backtesting Frameworks

Database Management

Risk Analysis

Strategy Deployment

Teamwork

Critical Thinking

Communication

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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