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Head of Execution Technology

Remote: 
Full Remote
Contract: 
Full time
Work from: 
France

Offer summary

Qualifications:

Bachelor’s degree in Engineering, Computer Science or related field, Strong skills in C++ / Python and/or machine learning systems.

Key responsabilities:

  • Manage a team of 5 to 10 and report to the Head of Trading Execution Technology
  • Maintain and develop feedhandlers, execution libraries, and predictors based on machine learning techniques
  • Optimize latency from real-time data reception to order submission
  • Compile data for transaction cost analysis metrics
Capital Fund Management (CFM) logo
Capital Fund Management (CFM) Investment Management SME http://www.cfm.fr/
201 - 500 Employees
About Capital Fund Management (CFM)
Capital Fund Management (CFM) is a successful alternative investment manager and a pioneer in the field of quantitative trading applied to capital markets across the globe. Our methodology relies on statistically robust analysis of terabytes of financial data for asset allocation, trading decisions and automated order execution. CFM is an appealing career destination for highly-talented and passionate PhDs, IT engineers and experts from around the world. Our people can rely on original theoretical insight accumulated over 30 years of market experience, as well as cutting-edge technology and disciplined approaches. These fundamentals allow us to foster the creation of exciting opportunities and state-of-the-art trading strategies. Our people’s diversity and dedication contribute to CFM’s unique culture of research, innovation and achievement. The company is regulated by AMF, the SEC and the CFTC, with assets under management of $10 billion (July 2022).
See more Capital Fund Management (CFM) offers

Job description

In close collaboration with quantitative research team on execution strategies and trading application development team, the Trading Core & Model Technology team is looking for:

A manager

  • You will manage a 5 to 10 people

  • You will report to the Head of Trading & Execution Technology

the team’s mission is to maintain and develop:

  • Feedhandlers enabling real-time distribution, with low latency, to various company applications.

  • Common execution libraries used by applications and tick by tick execution strategy simulators (C++):

    - Order flow management.

    - Network and processor optimized code enabling high-volume, low-latency tick by tick data delivery to trading applications.

  • Predictors based on machine learning techniques:

    - Machine learning pipeline for execution signals

    - Improvement of machine learning based predictors used in execution strategies.

- Industrialization of data engineering and machine learning pipelines

- Construction and maintenance of the technical infrastructure used for execution research (C++, Python, petabytes of data)

- Close collaboration with quantitative researchers to create high-quality solutions.

- Data collection for Calculation and distribution of transaction cost analysis metrics (C++, Python, SQL, Tableau)

- Automated analysis reports for execution research, portfolio investor relation, and compliance

The team is also responsible for optimizing latency from real-time reception to order submission.

  • Bachelor’s degree in Engineering, Computer Science or a related field.

  • Strong team management and project coordination skills.

  • Ability to collaborate closely with quantitative researchers and understand their needs.

  • Strong skills in C++ / Python and/or machine learning systems

 Your plusses:

  • Experience in developing high-performance, low latency trading applications.

  • Knowledge of execution libraries and execution strategy simulators.

  • Understanding of order flow management concepts and real-time market data management.

  • Proficiency in SQL and data analysis tools such as tableau.

Required profile

Experience

Industry :
Investment Management
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

SQL (Programming Language)Order ManagementData AnalysisRuntime SystemsC++ (Programming Language)Machine LearningTableau (Business Intelligence Software)Project CoordinationPython (Programming Language)Real Time Data

Other Skills

  • Collaboration
  • Team Management
Are you interested?

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