3 дня назад
Software Engineer, Core Data (C++)
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Core Data (C++): Building and maintaining market data feed handlers and quant-ready data archives for a quantitative investment manager with an accent on proprietary equities protocols, order book mechanics, and data correctness. Focus on implementing market-by-order processing, detecting data gaps, reconciling and backfilling archives, and supporting the rollout of new global markets.
Location: Chicago, with London listed as another location
Base salary: $150,000–$300,000 per year, plus potential discretionary bonus and benefits.
Company
Quantitative investment manager applying scientific research and technological innovation to global financial markets.
What you will do
- Implement and enhance market data feed handlers for proprietary equities protocols, including ITCH, GTP, and PITCH.
- Build and maintain quant-ready data archives with high standards for correctness, completeness, and consistency.
- Collaborate with quantitative researchers to optimize the presentation of data products.
- Support new-market rollouts by analyzing market-specific nuances and recommending technical solutions.
- Contribute to reference data, universe, and non-market data initiatives across the Core Data team.
- Share market data processing expertise, identify improvements, and mentor growing teammates.
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 trading or hands-on experience at a market data provider.
- Strong C++ and Python skills with experience building production-grade systems.
- Hands-on experience implementing and maintaining proprietary equities protocol handlers such as ITCH, GTP, or PITCH.
- Strong understanding of order books, trade and quote conditions, auctions, odd lots, corrections, and venue-specific behavior.
- Experience with data normalization, gap detection, reconciliation, and backfills for quant-ready archives.
Nice to have
- Rust experience.
- Exposure to quantitative research needs, reference data, or data pipeline tools such as Dagster or Polars.
Culture & Benefits
- Lean, autonomous, hands-on environment with close collaboration across Research, Engineering, and Trading Operations.
- Fully paid medical, dental, and vision coverage for employees and dependents.
- Competitive 401(k), employer-paid life and disability insurance, and generous PTO.
- Paid holidays and competitive paid caregiver leave.
- Wellness programs, meals and snacks, a game room, and team and company events.
- Open environment focused on learning and knowledge sharing.
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