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Software Developer - Risk Data Pipelines
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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