Software Developer - Risk Data Pipelines

Squarepoint Capital

Job details

  • ONSITE
  • FULL_TIME
  • Bangalore
  • Verified 2026-09-25
  • Source: Squarepoint Capital public GREENHOUSE source

Original job description

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

Related jobs

Apply at company