Software Engineer, Core Data
About The Position
Aquatic is hiring a Software Engineer for its Core Data team, which builds and maintains the data systems supporting the firm’s research and trading, including real-time market, alternative, and reference data. The role focuses on expanding expertise in market-by-order feed handling across global markets. The engineer will work closely with Research, Engineering, and Trading Operations on a lean, autonomous, hands-on team whose work has impact across the firm. The position involves implementing and enhancing handlers for proprietary equities protocols and the data processes around them, maintaining reliable quant-ready data archives, and helping roll out data systems for new markets. The engineer will also contribute to other Core Data initiatives, share expertise, improve supported systems, and help teammates grow.
Requirements
- BS/MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- 5–10 years of professional software development experience, including 4+ years in the trading industry or hands-on experience at a market data provider.
- Strong C++ and Python skills and a track record of building production-grade systems.
- Hands-on experience implementing and maintaining handlers for proprietary equities protocols such as ITCH, GTP, or PITCH.
- Strong understanding of the information communicated by these feeds, including order book mechanics, trade and quote conditions, auctions, odd lots, corrections, and venue-specific behavior.
- Experience maintaining quant-ready data archives, including normalization, gap detection, reconciliation, and backfills.
- Strong bias for action, accountability, and internal urgency.
- Curiosity about data and financial markets, and the ability to independently seek effective solutions.
- Comfort working across teams and aligning with stakeholders who have their own priorities.
- Ability to provide and receive actionable feedback in a collaborative team setting.
- Motivation to work in an ambitious environment with driven colleagues.
Nice To Haves
- Rust experience.
- Exposure to quantitative research needs, reference data, or modern data pipeline tools such as Dagster or Polars.
Responsibilities
- Implement and enhance market data feed handlers for proprietary equities protocols such as ITCH, GTP, and PITCH, along with related data processes.
- Build and maintain quant-ready data archives that are correct, complete, and consistent.
- Collaborate with quantitative researchers to understand their data use and optimize the presentation of data products.
- Support new-market rollouts by identifying market-specific nuances and recommending solutions.
- Share expertise in market data processing tradeoffs, identify opportunities for improvement, and mentor teammates.
- Participate in Core Data initiatives involving reference data, universe, and non-market data.
- Build systems that are clear, documented, maintainable, and supportable, and improve systems through ongoing work.
Benefits
- Fully paid medical, dental, and vision insurance for employees and dependents.
- Competitive 401(k) plan.
- Employer-paid life and disability insurance.
- Wellness programs.
- Casual dress.
- Snacks and lunch.
- Game room.
- Team and company events.
- Open environment for learning and knowledge sharing.
- Generous paid time off.
- Paid holidays.
- Competitive paid caregiver leaves.
- Potential eligibility for discretionary bonus compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
