Contributing to batch and real-time data pipelines that ingest, cleanse, and normalize structured and unstructured sources (market data, vendor feeds, web scrapes, alternative data)
Writing and maintaining Python and SQL under the guidance of senior engineers
Applying AI/ML methods to unstructured and semi-structured sources
Prototyping prompts, models, and evaluation sets; helping productionize approaches that meet the firm’s accuracy bar
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 under senior oversight
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 on sensitive financial data
Taking ownership of well-scoped datasets and processes as you ramp
Qualifications
Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline
Strong proficiency in Python and SQL. Evidence of this 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 (document/entity extraction, classification, summarization) and with evaluation harnesses or human-in-the-loop review
Coursework or project experience with workflow tools (Airflow, Dagster), cloud platforms (AWS/GCP), or warehouses (Snowflake, BigQuery, Databricks).
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Tower Research Capital is seeking a Python Developer to build and support a Python data science platform for global trading research. The role covers ETL pipelines, visualization, compute infrastructure, in-house tools,
Exposure to financial instruments, market microstructure, or vendor datasets (Bloomberg, S&P, LSEG)
Prior work in a collaborative research lab or production software setting
Hands-on experience with machine learning or applied AI through coursework, thesis/research, internships, or projects
Comfortable with at least one of: classical ML (scikit-learn or similar), NLP, or LLMs (prompting, evaluation, structured extraction)
Demonstrated ability to work with messy, large, or imperfect datasets: cleaning, validating, summarizing, and drawing defensible conclusions
Familiarity with Linux or Windows command line, version control (Git), and basic software engineering hygiene (testing, documentation, code review)
Clear written and verbal communication
Ability to explain technical and AI-related findings to both engineers and non-technical stakeholders, including limitations and failure modes
Strong problem-solving skills, intellectual curiosity, and a bias toward getting details right
Comfortable working in a fast-paced, high-accountability environment
Anticipated annual base salary range USD $150,000 - $180,000 plus eligible for discretionary bonus
Benefits
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
Generous paid time off policies
Savings plans and other financial wellness tools available in each region
Hybrid working opportunities
Free breakfast, lunch, and snacks daily
In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
Volunteer opportunities and charitable giving
Social events, happy hours, treats, and celebrations throughout the year
Workshops and continuous learning opportunities
At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.
Tower Research Capital is an equal opportunity employer.
About Tower Research Capital
Financial Services1,001-5,000Founded 1998
Tower Research Capital is a quantitative trading firm that builds high-performance technology and independent trading teams to trade across global markets and asset classes.