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Quantitative Developer

Position:            Quantitative Developer              

Reporting to:     Head of  Quantitative Research

Function:            Development   


Company Overview

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 the recent acquisition of StatPro, 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.

Role Purpose

We are looking for a Quantitative Developer to join our team working on our world-class, multi-asset portfolio risk reporting platform.

This is a great opportunity to join a successful Quantitative Team and 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.


  • Market data analysis;
  • 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;
  • 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#, AWS, unit tests


  • Attention to details;
  • Team player;
  • Willingness to take responsibility;
  • Eager to learn;
  • Resourcefulness to collect information from a broad range of sources to support analysis;
  • Ability to plan/organize workload

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