Senior Data Analyst
Tower Research CapitalAbout the Role
Tower Research Capital's Core Engineering department is seeking a Senior Data Analyst to join the Data team in New York. The role focuses on building and maintaining scalable batch and real-time data pipelines that ingest, cleanse, and normalize structured and unstructured data from market data, web scrapes, vendors, and alternative sources.
- Design and productionize AI/ML workflows for unstructured and semi-structured data, including document/entity extraction, classification, vendor-file parsing, and news and filings processing.
- Own core investment data domains, designing and evolving data models for Security Masters, Corporate Actions, and referential datasets across asset classes (Equities, Futures, FX, Derivatives).
- Evaluate and implement modern data tooling (SQL, Kafka, Airflow, Cloud) to improve the speed, reliability, and observability of the data ecosystem.
- Implement validation checks, anomaly detection, and reconciliation logic to ensure zero-error data delivery to trading systems.
- Partner with Data Scientists and Quants to prototype data extraction methods and operationalize research signals into production-grade feeds.
Requirements
- 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
- 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
- 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
What You'll Get
- $230k–$250k base salary
- 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