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Production Support Engineer - Risk/ PnL

External
Full-timeOn-site1mo ago
BashLinuxPowerShellPythonSQLSQL Server
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Requirements

  • Market data tools (Bloomberg, Refinitiv)
  • Options pricing / vol surfaces
  • Prime brokerage / post-trade workflows
  • Algorithmic trading environments
  • Risk systems (e.g. Imagine, Murex, in-house)
  • Linux experience
  • Understanding of accounting PnL

Benefits

Health insuranceRemote work options

Additional Information

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: Monitor and support real-time risk systems (Greeks, exposure, limits) Own end-of-day PnL and resolve discrepancies (flash vs official) Investigate trade and position breaks across internal systems, brokers, and exchanges Ensure market data (prices, vol, curves) is accurate for risk/PnL calculations Explain PnL moves with traders and quants (delta, gamma, vega, etc.) Ensure systems are ready before market open (health checks, sign-off) Manage incidents and communicate clearly under time pressure Improve processes through automation (scripts, monitoring tools) Support releases and validate risk/PnL outputs Participate in on-call rotation (evenings/weekends, remote) Your present skillset: 2+ years in risk, PnL, or quant support (trading firm, hedge fund, or bank) Strong understanding of risk metrics (delta, gamma, vega, theta, DV01) Experience with PnL production and reconciliation Exposure to at least two asset classes (e.g. equities, FX, rates, commodities) Strong SQL skills (SQL Server or Postgres) ~1 year scripting (Python, Bash, or PowerShell) Strong analytical and problem-solving skills Clear communication with technical and business stakeholders High ownership and proactive mindset


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