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)
- Evaluating and implementing modern data tooling (SQL, Kafka, Airflow, Cloud) to improve the speed, reliability, and observability of the data ecosystem
- 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
BenefitsTower'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.
