Junior Quant Data Engineer

About the Role

Join a global macro, quantitative systematic investment firm as a Junior Quant Data Engineer. You'll build and maintain the data infrastructure powering research, backtesting, and live trading—working at the intersection of data engineering and quantitative finance.

Responsibilities

Data Engineering

Build and maintain end-to-end pipelines for market and alternative data (futures, FX, options, macro series)
Implement ETL processes: ingestion, validation, transformation, and storage of time series data
Develop data quality checks, anomaly detection, and reconciliation processes
Maintain logging, alerting, and monitoring for pipelines and scheduled tasks

Research & Trading Support

Partner with quants, traders, and PMs to deliver research-ready datasets
Integrate new data sources into research environments (Python/Matlab) and production systems (Python/.NET/Django)
Process and validate trade sheets, position files, and PnL data

Production Operations

Support day-to-day operations: investigate data issues, coordinate fixes, maintain production systems
Automate workflows using Python, VBA, or scripting
Contribute to internal libraries and propose improvements to data architecture

Requirements

Technical

Strong Python skills (pandas, NumPy) for data manipulation and automation
Solid SQL experience (schema design, query optimization, stored procedures)
Git and standard development practices (code reviews, testing, CI/CD)
Solid software engineering fundamentals: design patterns, code organization, debugging, and performance tuning.
Exposure to any of: Matlab, .NET/C#, VBA, Django

Domain Knowledge

Understanding of time series data and market data structures
Basic familiarity with global macro asset classes (futures, FX, rates, commodities)

Education & Experience

Bachelor's or Master's in CS, Engineering, Mathematics, Statistics, Physics, or related field
0–3 years in data engineering, quant tech, or similar role (strong internships considered)

Nice to Have

Experience with market data vendors (Bloomberg, Refinitiv)
Familiarity with research data libraries, backtesting datasets, or risk/PnL data flows
Unit/integration testing experience
Familiarity with containerization (Docker) and deployment patterns (Kubernetes, ECS, or equivalent)

What We're Looking For

Strong attention to detail and commitment to data accuracy
Ownership mentality—treats pipelines as products, not scripts
Clear communicator who can translate business needs into technical solutions
Comfortable in a fast-paced environment with tight deadlines
Genuine curiosity about investing and trading, not just engineering

Pay:

Base salary
Annual performance-based bonus

Benefits:

401(k) matching
Health insurance
Paid time off

Job Type: Full-time

Pay: $100,000.00 - $150,000.00 per year

Benefits:

401(k)
Health insurance
Paid time off

Work Location: In person

ROW Asset Management

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Junior Quant Data Engineer