Operations Associate (UK)

Location: London, United Kingdom

Ref#: POS-10478

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Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights that forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and develop creative solutions to some of the world’s most difficult economic problems. Our work spans markets and industries, from insurance and securities to private investments and new ventures.

We are seeking a talented and detail-oriented individual to join our Operations team, performing vital middle office / trade support functions and participating in initiatives that will help Two Sigma build and develop critical business activities.  

You will take on the following responsibilities:


  • Ensuring that trading systems are utilizing reconciled information and that all operational procedures and risk controls are set

  • Reconciling internal positions across multiple counterparties and asset classes

  • Reviewing and managing admin positions/transactions/cash reconciliations exceptions across multiple counterparties and asset classes

  • T+0 matching and settlements across multiple asset classes and markets

  • Managing mandatory and voluntary corporate action event lifecycles

  • Analyzing our existing operational platform to establish straight through processing and other efficiencies

You should possess the following qualifications:


  • 7-9 years of operations experience at an investment management firm, fund administrator, and prime broker

  • Bachelor's degree (preferably in finance or economics)

  • Experience with equity, fixed income, and derivative products and trade life cycle

  • Excellent written and verbal communication skills

  • Exceptional attention to details and processes

  • Ability to manage and prioritize multiple tasks

  • Strong problem solving/critical thinking abilities

  • Ability to develop relationships and thrives in a collaborative environment

  • Data analytical and visualization skills (e.g. compiling datasets and identifying anomalies/trends)

  • Extensive experience with MS Office


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