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Software Developer - Risk Data Pipelines

Squarepoint Capital

Bangalore, Montreal, WarsawPosted 5 h agoDirect from company

  • LocationBangalore, Montreal, Warsaw
  • Work typeNot stated
  • Posted28 October 2026
  • SourceSquarepoint Capital's careers page (Greenhouse)
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About the role

Position Overview:

Risk Technology develops core services and systems required by Squarepoint’s systematic and quantitative trading strategies, such as real-time risk controls, position/inventory/P&L monitoring, internal order routing, and various pre and post-trading services.

Risk Data Pipelines develops software on top of the core Risk Technology platform to handle market or asset-class specific processing, including:

- Trade Data Ingress - Normalize and stream trade data to Squarepoint's systems from trading platforms like Bloomberg, Fidessa and SpiderRock.

- Trade Data Egress - Feeds to 3rd party platforms to ensure trade booking correctness and regulatory compliance.

- Services and analytics used by investment and quant teams to understand Risk exposure, P&L and to improve capital efficiency.

- Automation of trading operations to support the growth of the business, such as the management of options & future expiry and automated trade, position and P&L reconciliation.

This role provides an opportunity to learn many aspects of the way hedge funds operate through close collaboration with trading and quantitative teams, and as a developer you will:

- Design, develop and deliver high quality and maintainable business critical software.

- Work closely with stakeholders and colleagues to capture requirements, define architecture and technologies, identify and resolve bottlenecks, and deliver functionality.

- Lead and contribute to design discussions and mentor other team members.

- Participate in level 2 support.

Required Qualifications:

- Bachelor’s degree in computer science or related subject.

- 4 years’ minimum Python experience working in the financial industry.

- Team player with excellent communication skills.

- Experience with database management systems and related technologies such as SQL.

- Knowledge of traded financial instruments (Equity, FX, Credit or Rates).

Nice to Have:

- Experience of FIX protocol

- Experience developing in data engineering (using Python with pandas, R, Julia)

- Experience with KDB+/q

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