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Data Analyst

New York

Pay
USD 150,000–180,000/year · BasePlus bonus — pay source
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
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Tower Research Capital

What you’ll bring

All qualifications

Core experience

  • Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline
  • Hands-on experience with machine learning or applied AI through coursework, thesis/research, internships, or projects
  • Ability to explain technical and AI-related findings to both engineers and non-technical stakeholders, including limitations and failure modes
  • Strong proficiency in Python and SQL.
  • Demonstrated ability to work with messy, large, or imperfect datasets: cleaning, validating, summarizing, and drawing defensible conclusions
  • Practical experience with LLMs for unstructured data processing (document/entity extraction, classification, summarization) and with evaluation harnesses or human-in-the-loop review
Qualification wording
Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline
Hands-on experience with machine learning or applied AI through coursework, thesis/research, internships, or projects
Ability to explain technical and AI-related findings to both engineers and non-technical stakeholders, including limitations and failure modes
Strong proficiency in Python and SQL. Evidence of this through coursework, thesis/research code, internships, or personal projects
Demonstrated ability to work with messy, large, or imperfect datasets: cleaning, validating, summarizing, and drawing defensible conclusions
Practical experience with LLMs for unstructured data processing (document/entity extraction, classification, summarization) and with evaluation harnesses or human-in-the-loop review
Education & alternatives
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

Tools in this posting

  • Python
  • SQL
  • BigQuery
  • Snowflake
  • Airflow
  • Dagster
  • AWS
  • Google Cloud (GCP)
  • Databricks
  • scikit-learn
Source — Tool mentions in context
- 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
- 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). - Exposure to financial instruments, market microstructure, or vendor datasets (Bloomberg, S&P, LSEG)
- 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

Benefits in the posting

Full benefits wording
  • Our benefits include:
  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
  • Volunteer opportunities and charitable giving
  • Workshops and continuous learning opportunities

From the employer’s posting.

Job description

View original posting ↗

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation  for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. 

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Our Core Engineering department is seeking a Data Analyst to join our Data team in New York. 

Responsibilities

  • 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).
  • 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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on www.tower-research.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

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Pay
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
Location & working pattern

New York

- Savings plans and other financial wellness tools available in each region - Hybrid working opportunities - Free breakfast, lunch, and snacks daily
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Sep 23, 2026
Recorded sightings
3
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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