Middle Office Developer at Tower Research Capital

New Jersey, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, Finance, or a related field
2-3 years of experience as a developer or data engineer in a financial services environment
Strong programming skills in Python, with experience in libraries like Pandas, NumPy, or PySpark
Experience with SQL and relational databases (e.g., PostgreSQL, SQL Server, or similar)
Familiarity with middle-office systems, trade lifecycle, and reconciliation workflows
Experience with ETL tools or building custom data pipelines
Knowledge of version control (e.g., Git), CI/CD pipelines, and development best practices

Responsibilities

Design, build, and maintain internal tools and applications to support middle-office functions (e.g., trade capture, PnL reconciliation, position reporting)
Collaborate with operations, risk, compliance, and portfolio management teams to gather requirements and translate them into scalable technology solutions
Automate and improve workflows across trade lifecycle processes
Develop and maintain data pipelines to ingest, transform, and store financial data from various sources (e.g., market data, trading platforms)
Build and optimize data models for analytics, risk, and reporting use cases
Ensure high data quality, integrity, and availability across systems

Skills

Python

Pandas

NumPy

PySpark

SQL

PostgreSQL

SQL Server

ETL

Git

CI/CD

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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