Quantitative Developer - Investment Banking

  • Location:

    London

  • Sector:

    Financial Services

  • Job type:

    Contract / Interim

  • Salary:

    Negotiable

  • Contact:

    Resource Solutions

  • Contact email:

    Matthew.capps1@morganstanley.com

  • Job ref:

    MOR3JP00006040_1578584288

  • Published:

    9 days ago

  • Expiry date:

    08/02/2020

  • Startdate:

    ASAP

  • Client:

    Morgan Stanley Careers

  • Hours per day:

    5

  • Work preference:

    Office

  • Days per week:

    5

Our client, a leading global financial services firm that provides a wide range of investment banking, securities, investment management and wealth management services is seeking an experienced Quantitative Developer to join their London Office.

The successful candidate will join the newly formed Global Risk Analytics Platform and Delivery (RAPD) team, part of the Risk Analytics (RA) group, a leading group of world class quantitative analysts responsible for Risk Models Research and Development in the Firm Risk Management (FRM)

As quantitative developers in the RAPD team you will partner with Risk Analytics quantitative analysts, Risk Managers, Technology and Front Office Quants Teams to build, support and utilize a newly developed Risk Model Development Platform. The platform supports new risk model development as well as functional enhancements to existing risk models.

Your responsibilities will include:

  • Designing the architecture and implementing software components of a new Model Development Platform
  • Developing cutting-edge software libraries and APIs for quantitative modelers,
  • Contributing to model implementation & code optimization
  • Gaining exposure to and experience with APIs into Front Office library components written in different languages and using different technologies
  • Participating in high level design discussions, design reviews and peer reviews
  • Interacting with quantitative analysts, end-users, business analysts and product owners around the globe (New York, London, Hong Kong, etc.) to gather user stories and clarify requirements
  • Owning or contributing to tools development
  • Defining and setting up the relevant software development process and its tooling
  • Collaborating with Risk Technology teams to specify and implement APIs for Risk Applications implemented in Java
  • Defining test cases and implementing unit and/or integration tests
  • Working with production support teams and users to resolve escalated cases

Skills required

  • M.Sc. or B.Sc. in Computer Science, Computer Engineering, Mathematics, Physics or similar quantitative area
  • Genuine interest in Finance, Banking and Risk Management
  • Experience working as a part of a team; familiarity with collaboration tools such as: code versioning (e.g. git/svn/cvs), task tracking (e.g. Jira)
  • Solid quantitative development experience with Python
  • Good experience with at least one more general purpose programming language (C++, Java, C#)
  • Solid understanding of algorithms and data structures
  • Good understanding of computational complexity
  • Willingness to learn new technologies quickly
  • Experience with the design and implementation of complex technology stacks
  • Willingness and skills to solve problems through applying various technologies
  • Solid understanding of Test Driven Development (TDD)
  • Excellent problem solving skills
  • Confident command of English
  • Good communication skills and interpersonal skills