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About the Role
Tower Research Capital is seeking a Data Analyst to join their Data team within the Core Engineering department in New York. This role involves contributing to data pipelines, applying AI/ML methods, and assisting with new dataset onboarding.
Responsibilities
- Contributing to batch and real-time data pipelines that ingest, cleanse, and normalize structured and unstructured sources.
- Writing and maintaining Python and SQL.
- Applying AI/ML methods to unstructured and semi-structured sources.
- Prototyping prompts, models, and evaluation sets; helping productionize approaches.
- Implementing and running validation checks, anomaly detection, and reconciliation logic.
- Using statistical and ML-based methods to flag outliers and data breaks; investigate root causes and help prevent recurrence.
- Assisting with onboarding new datasets: review vendor specs and sample files, map fields to internal models, and help integrate APIs.
- Evaluating where LLMs or classical ML can accelerate mapping, documentation, and QA.
- Using modern data tooling to monitor jobs, improve reliability, and document processes.
- Building fluency in financial instruments, market data conventions, production engineering practices, and responsible use of AI.
- Taking ownership of well-scoped datasets and processes.
Requirements
- Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline.
- Strong proficiency in Python and SQL, evidenced through coursework, thesis/research code, internships, or personal projects.
- Internship or research experience involving data engineering, quantitative research, market data, or financial datasets.
- Practical experience with LLMs for unstructured data processing and with evaluation harnesses or human-in-the-loop review.
- Coursework or project experience with workflow tools, cloud platforms, or warehouses.
- Exposure to financial instruments, market microstructure, or vendor datasets.
- Prior work in a collaborative research lab or production software setting.
- Hands-on experience with machine learning or applied AI.
- Comfortable with at least one of: classical ML, NLP, or LLMs.
- Demonstrated ability to work with messy, large, or imperfect datasets.
- Familiarity with Linux or Windows command line, version control (Git), and basic software engineering hygiene.
- Clear written and verbal communication.
- Ability to explain technical and AI-related findings to both engineers and non-technical stakeholders.
- Strong problem-solving skills, intellectual curiosity, and a bias toward getting details right.
- Comfortable working in a fast-paced, high-accountability environment.
Skills
- Python
- SQL
- AI/ML
- LLMs
- Prompting
- Evaluation
- Structured Extraction
- Workflow tools (Airflow, Dagster)
- Cloud platforms (AWS/GCP)
- Warehouses (Snowflake, BigQuery, Databricks)
- Financial instruments
- Market microstructure
- Vendor datasets (Bloomberg, S&P, LSEG)
- Linux/Windows command line
- Version control (Git)
- Software engineering hygiene (testing, documentation, code review)
Location
- New York
Work Type
- Hybrid
Education Level
- Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline
Salary/Compensations
- USD $150,000 - $180,000 plus eligible for discretionary bonus
Benefits
- Generous paid time off policies
- Savings plans and other financial wellness tools
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses
- Company-sponsored sports teams and fitness events
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations
- Workshops and continuous learning opportunities
About the Company
- Tower Research Capital is a leading quantitative trading firm founded in 1998, built on a high-performance platform and independent trading teams with a 25+ year track record of innovation.
- Tower empowers portfolio managers to build teams and strategies independently while providing economies of scale.
- Engineers develop electronic trading infrastructure, solving challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning.
- Ongoing investment in engineering talent and technology ensures their platform remains unmatched.
- Business Support teams are essential to building and maintaining the platform that powers everything, enabling trading and engineering teams to perform at their best.
- Employees find a stimulating, results-oriented environment where colleagues inspire each other.
- Tower believes work should be both challenging and enjoyable, fostering a culture where smart, driven people thrive without egos.
- Their open concept workplace, casual dress code, and well-stocked kitchens reflect the value placed on a friendly, collaborative environment.
- Tower offers a collaborative and welcoming culture, a diverse team, and a workplace that values both performance and enjoyment, with no unnecessary hierarchy or ego.
Equal Opportunity
- Tower Research Capital is an equal opportunity employer.