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Quant Developer

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

A successful candidate will join the team and focus on our cross-product pricing build out. Initially focusing on Interest Rate Swaps, the build out will expand to focus on other asset classes such as Bonds, FX, FXO, IRO, Equities and Commodities and PreciousMetals.The team is 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 Market Data business. This data is widely used both internally andexternally 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 / ExperienceEssential
  • Strong pricing analytics background
  • Strong background in pricing at least one asset class
  • Interest Rates Swaps 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
  • Essential Languages:
  • Python, Java or C++ (Advanced level on at least one)
  • 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
  • Desirable Languages/Technologies:
  • Python, Java, C++, KDB+/Q, C#, C
Personal AttributesProblem 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 team
  • 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

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