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Trade Operations Support Engineer Python

Client Server Ltd.
Posted 20 hours ago, valid for 25 days
Location

London, Greater London EC1R 0WX

Salary

£44,000 - £55,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Trade Operations Support Engineer (Python Automation) based in London with a salary of up to £135k plus significant bonuses.
  • Candidates should have relevant industry experience and strong knowledge of at least one asset class from a trading operations perspective.
  • Strong Python (or Golang) coding skills and SQL proficiency are required, along with advanced analytical and problem-solving abilities.
  • The role involves supporting daily reconciliations, managing cash and collateral, and collaborating with the technology team to develop new tools.
  • A minimum of a 2.1 degree in Computer Science, Mathematics, or Engineering is required, along with excellent communication and cross-team collaboration skills.

Trade Operations Support Engineer (Python Automation) London onsite to £135k+

Do you have experience of supporting trading systems combined with strong Python coding skills?

You could be progressing your career at a hugely successful algorithmic trading firm.

As a Trade Operations Support Engineer you will be responsible for supporting daily reconciliations of cash, positions and trading activity; managing cash / collateral across multiple brokers and clearing houses and production of various reports including PnL, Risk and Treasury.

You'll collaborate closely with the technology team to develop new tools and applications, build and maintain automated processes and will also be responsible for onboarding new exchanges, counterparties, brokers or products.

Location / WFH:

You'll be based in the London office which offers a wide range of facilities and perks including onsite gym, sauna and fitness classes, onsite doctor and restaurant; there is also some flexibility to work from home one day a week.

About you:

  • You are degree educated (minimum 2.1 at BSc) in Computer Science, Mathematics or Engineering
  • You have relevant industry experience with a strong knowledge of at least one asset class from a trading operations perspective
  • You have strong Python (or Golang) coding skills and SQL
  • You have advanced analytical and problem solving skills, you like to be challenged and get to the root cause
  • You have excellent communication and cross team collaboration skills

What's in it for you:

  • Salary to £135k + significant bonus
  • Generous pension contribution
  • Medical benefits including onsite doctor and therapist
  • Various support packages for care givers, including emergency dependency care
  • Free onsite gym, sauna and fitness classes
  • Barista coffee and onsite restaurant

Apply now to find out more about this Trade Operations Support Engineer opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.