---
title: 'Senior Data Analyst at Tower Research Capital'
canonical: 'https://feeny.ai/job/senior-data-analyst-tower-research-capital-new-york-va6nwwke1y9q'
type: 'job'
last_seen: '2026-10-13'
---

# Senior Data Analyst at Tower Research Capital

- **Company:** Tower Research Capital
- **Location:** New York, NY
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-10-13
- **Apply:** https://www.tower-research.com/open-positions/?gh_jid=8167228

## Job description

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 Senior Data Analyst to join our Data team in New York.

## Responsibilities

- Designing, building, and maintaining scalable batch and real-time data pipelines to ingest, cleanse, and normalize data from a wide variety of structured and unstructured sources (market data, web scrapes, vendors, alternative data)
- Designing and productionizing AI/ML workflows for unstructured and semi-structured data, including document/entity extraction, classification, vendor-file parsing, news and filings processing, and alternative-data onboarding
- Owning prompt/model selection, evaluation harnesses, human-in-the-loop review, and monitoring so AI-assisted feeds meet the firm’s accuracy and latency standards
- Owning core investment data domains, designing and evolving data models for Security Masters, Corporate Actions, and Referential datasets across various asset classes (Equities, Futures, FX, Derivatives)
- Implementing robust validation checks, anomaly detection, and reconciliation logic to ensure "zero-error" data delivery to trading systems
- Applying statistical and ML-based methods to detect outliers, drift, and silent data breaks
- Partnering directly with Data Scientists and Quants to understand their research needs, prototype data extraction methods (including AI-enabled approaches), and operationalize research signals into production-grade feeds
- Managing the end-to-end process of onboarding new datasets, engaging with external vendors to understand data nuances, and integrating APIs
- Assessing where AI can accelerate mapping, documentation, and QA without compromising data integrity

## Qualifications

- 3+ years of professional experience in data engineering, preferably within the financial industry (Hedge Fund, Asset Manager, or FinTech)
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline
- Understanding of financial instruments, financial datasets from Bloomberg, S&P, LSEG
- Experience with distributed computing frameworks like Spark or streaming technologies like Kafka
- Proficiency in C++, Java, or Rust is a strong plus
- Experience with retrieval-augmented generation, vector search, fine-tuning or distillation, LLM evaluation frameworks, or agentic workflows for data operations
- Prior work applying AI to financial documents, corporate actions, or alternative data
- Programming Mastery: Expert-level proficiency in Python (including Pandas, NumPy, and async frameworks) and advanced SQL (complex queries, window functions, performance tuning)
- Hands-on production experience applying AI or ML to data problems—such as NLP, information extraction, classification, or LLM-based processing of unstructured data
- Ability to evaluate model quality (precision/recall, error analysis, gold-set design), manage failure modes, and ship reliable pipelines rather than one-off prototypes
- Familiarity with common AI libraries and APIs (e.g., scikit-learn, PyTorch, Hugging Face, and/or LLM APIs)
- Strong hands-on experience with workflow orchestration tools such as Airflow, Dagster, or similar
- Proven experience building data platforms on AWS / GCP and modern data warehouses (e.g., Snowflake, BigQuery, DataBricks)
- Understanding of dimensional modeling, SCD strategies, data partitioning, and VLDB design principles
- Experience with Linux and Windows operating systems, NFS, S3, and work management platforms (JIRA, Confluence, etc.)
- Excellent problem-solving skills with a sense of ownership. Ability to communicate technical and AI-related concepts effectively to non-technical traders and researchers, including limitations and risk

Anticipated annual base salary range USD $230,000 - $250,000 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

## Company Overview
- **One-liner**: Tower Research Capital is an American quantitative trading firm that builds high-performance technology platforms for systematic trading across all asset classes, markets, and time horizons.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: New York, New York, United States
- **Founded**: 1998
- **Founders**: Mark Gorton, Alistair Brown

## Core Business
- **Primary industry**: Financial Services (Quantitative Trading, High-Frequency Trading, Liquidity Provision)
- **Target customers**: Institutional (the firm trades for its own capital; it provides a platform for systematic portfolio managers and quantitative trading teams)
- **Mission or purpose statement**: To create an environment that empowers quantitative trading teams to innovate and reach their greatest potential, powered by a high-performance technology platform [tower-research.com](https://tower-research.com/)

## Products & Services
- **Quantitative Trading Platform**: A proprietary, high-performance technology stack supporting every aspect of trading and research — market access, data management, quantitative research, compute infrastructure, compliance, and risk management.
- **Systematic Portfolio Management**: A platform that allows dozens of independent trading and research teams to build and execute strategies while benefiting from economies of scale.
- **Liquidity Provision**: Market-making and liquidity services across a massive range of asset classes, products, regions, and venues.
- **Tower Ventures**: An investment arm for evaluating business opportunities and supporting new ventures.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Annual Revenue of $600.0M (estimated, per LinkedIn data) [linkedin.com](https://www.linkedin.com/company/tower-research-capital)
- **Notable Investors/Partners**: The firm is founder-owned; no external venture investors listed. Key partners include exchanges and trading venues globally.
- **Growth Signals**: Headcount of 997 employees (+15.3% YoY, +191 people); operates in 21 countries with 11 offices (New York, Chicago, South Charleston, Montreal, London, Amsterdam, Gurgaon, GIFT City, Singapore, Hong Kong, Shanghai); 64 active job postings; 204,460 LinkedIn followers (+20.7% yearly growth) [linkedin.com](https://www.linkedin.com/company/tower-research-capital)

## Competitive Advantages
- **25+ Year Track Record**: One of the longest-standing quantitative trading firms, with a proven ability to adapt to new market opportunities.
- **Platform-First Model**: Unlike many hedge funds, Tower provides a shared high-performance platform (technology, data, infrastructure, risk management, compliance) that allows independent trading teams to focus purely on alpha generation.
- **Continuous Investment**: Robust, ongoing investment in market access, data, research, compute infrastructure, low-latency technology, and machine learning.
- **Team-Based Structure**: Dozens of independent trading and research teams operate autonomously while benefiting from the firm’s scale, creating an entrepreneurial environment within a stable organization.
- **Cutting-Edge Engineering**: Engineers work on the latest advances in machine learning, wireless telecommunication, hardware acceleration, and low-latency programming.

## Strategic Focus
- **Talent Acquisition**: Continuous investment in top trading, engineering, and business support talent as the firm’s primary growth driver.
- **Technology Leadership**: Building the fastest, most scalable, highest-performing trading technology stack in the industry.
- **Global Expansion**: Operating across 21 countries with a growing presence in key financial hubs (GIFT City, Singapore, etc.).
- **Diversification**: Expanding across asset classes, products, regions, and venues to capture new market opportunities.

## Why Work Here
- **Culture**: Values excellence, teamwork, integrity, respect, and innovation. Described as a stimulating, results-oriented environment that values entrepreneurs and self-starters [tower-research.com](https://tower-research.com/about-us/)
- **Work Style**: Team-based structure with autonomy and independence; cross-functional collaboration encouraged. "Calm and Focus" is a stated value — the firm emphasizes maintaining composure when the unexpected occurs [tower-research.com](https://tower-research.com/careers/)
- **Remote/Hybrid**: "Possibilities for hybrid work" are mentioned as a perk [tower-research.com](https://tower-research.com/careers/)
- **Perks**:
    - Discretionary and team-based bonuses
    - 5 weeks of paid vacation per year
    - Robust medical benefits plans
    - 401(k) with company matching (US employees)
    - Complimentary in-office meals daily
    - Regular social gatherings and events
    - Professional development workshops
    - Donation matching program
- **Engineering Culture**: Engineers work on cutting-edge problems in machine learning, wireless telecom, hardware acceleration, and low-latency programming. The interview process is described as straightforward — "no gotcha questions, random logic problems, or abstract, overly academic discussions" [tower-research.com](https://tower-research.com/careers/)
- **Career Growth**: Commitment to supporting employee growth with professional development workshops and a focus on helping employees reach their full potential.

## Sources
1. [tower-research.com](https://tower-research.com/)
2. [tower-research.com/about-us/](https://tower-research.com/about-us/)
3. [tower-research.com/careers/](https://tower-research.com/careers/)
4. [linkedin.com/company/tower-research-capital](https://www.linkedin.com/company/tower-research-capital)

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