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Quantitative Developer

3 months ago

London, United Kingdom Fenics Market Data Full time

Role Summary


Find out more about this role by reading the information below, then apply to be considered.

The Fenics Market Data Analytics team are recruiting for an experienced pricing and analytics quant developer to come and work in a real-time data analytics team. A successful candidate will join the team and focus on our cross-product pricing build out. Initially focusing on Bonds, the build out will expand to focus on other asset classes such as Interest Rate Swaps, FX, FXO, IRO, Equities and Commodities and Precious Metals.

Our multidisciplinary team – made up of quantitative analysts, data analysts, data scientists, product specialists, developers, and testers – is responsible for the development and production of data for the Fenics Market Data business. This data is widely used both internally and externally and as such we aim for the highest possible standards. Each project is typically developed with a cross-section of team members from the different disciplines. This multi-discipline collaboration enables individuals to gain exposure (and contribute) to what other parts of the team and organisation are doing.

Key Responsibilities

Development of pricing models within an application development framework

Use of and contribution to Quantitative Libraries

Development and integration of pricing models

Research & Development of approaches to solve new and existing problems

Skills / Experience

Essential

  • Strong Java
  • Strong pricing analytics background
  • Strong background in pricing at least one asset class
  • Sovereign Debt preferred
  • Experience in working within real-time event driven environments
  • Experience using shared frameworks for the delivery of solutions
  • Track record of data-driven development and unit-testing, mocking and back-testing
  • Proven background in multiple languages and willingness to learn additional languages when required

Desirable

  • Background with multiple asset classes is an advantage
  • Relational and NoSQL database experience
  • KDB (ideal), Oracle, Sybase, Cassandra and other data technologies
  • Previous exposure to:

Electronic Trading Systems & Execution Platforms

Execution & Hedging Algorithms

Container frameworks and the tooling that goes with them

  • Additional Desirable Languages/Technologies:
  • Python, C++, KDB+/Q, C#, C

Personal Attributes

  • Problem solving: Proven ability to take complex business requirements and translate these into tangible, workable and commercially smart solutions while leveraging best practice tools and techniques
  • Analytical: Ability to understand and respond to complex problems, draw and present the right insight and recommendations effectively
  • Collaborative approach to working as part of a global teamC
  • Confident communicator
  • Capable at managing your own work load, while providing regular feedback to management
  • To be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm