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Squarepoint Capital
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Software Developer - Risk Data Pipelines

Software Developer - Risk Data Pipelines

Squarepoint Capital

4 - 9 years

6 - 11 Lacs

bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

computer science trade automation bloomberg reconciliation manager technology analytics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

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 Squarepoints 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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Software Developer - Risk Data Pipelines