Quantitative Analyst

  • London, United Kingdom
  • Full Time
  • Experienced


Confluence is a global technology solutions provider delivering innovative products to the worldwide money management industry, to meet asset managers and service providers performance, reporting, analytics, risk and data needs. With recent acquisitions, Confluence offers its clients a broader range of data-driven managed investment solutions including post-trade regulatory and shareholder reporting, performance and attribution, portfolio analytics, and asset data services and data management, delivering a full technology suite to the front, middle and back office. Headquartered in Pittsburgh, PA, Confluence services over 400 clients in 39 countries, with locations across Europe, North America, South Africa, Australia and Asia.


Summary: A great opportunity to join a successful and expanding Quant Team to contribute towards the development of the risk management system. The successful candidate is expected to demonstrate a high degree of numerical, verbal, and analytical skills.


Company: Confluence Delta


Location: Central London


Reporting To: Head of Quantitative Research



  • Research, prototyping and implementation of cross-asset financial models;
  • Developing analytics for cutting-edge portfolio and risk management system;
  • Support, maintenance, and enhancement of financial libraries, specifically

QuantLib and QuantKit;

  • Market data analysis;
  • Providing support to client services and technology teams;



Essential Requirements:

  • A degree in a quantitative subject such as Physics, Math, or Financial Engineering
  • Strong numerical and statistical skills;
  • Excellent analytical and problem-solving abilities;
  • Intellectual curiosity;



Preferred Requirements:

  • Knowledge of basic pricing models
  • Technical skills: Python, SQL, C++/C#
  • Experience with QuantLib



  • Attention to details
  • Team player
  • Willingness to take responsibility
  • Ability to communicate with company's staff at all levels
  • Eager to learn
  • Resourcefulness to collect information from a broad range of sources to support analysis
  • Ability to plan/organize workload



We are committed to providing equal opportunities regardless of age, gender, religion or ethnic origin and we give full and fair consideration to the employment and career development of disabled persons, commensurate with their aptitudes and abilities.

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