Product Development Analyst

Location: London, United Kingdom
Rate: Competitive
Job Type: Permanent, Full time

Job description:

Our client an experienced team of prime brokerage, asset management, technology and data specialists are delivering identifiable and measurable benefits to hedge funds every day. The product team members are required to have an understanding as to the needs of our clients, technology for financial applications and the changes shaping the industry. With data becoming the most valuable commodity, we are looking to enhance our product offering by providing greater insights and analytics. The role involves working in all aspects of data from a product perspective – ingestion, cleansing, exploring and monetising.

Key responsibilities:

  • Business analysis of broker and hedge fund data to identify opportunities (e.g. cost savings with respect to financing) or provide analytics to highlight areas where the client could be more competitive with respect to their peer group
  • Research, idea generation and prototyping of data products based on hedge fund securities lending and position data with the aim of providing clients with valuable insights
  • Work as part of a team and act in a collaborative manner with Sales, Technology, and Client Services
  • Support our Sales team with research and custom analysis
  • To fulfill any additional / ad hoc duties as required to meet the needs of the business 

Required Skills & Qualifications:


  • Python development experience (including pandas, numpy and scipy)
  • Database experience (postgres ideally, redis and mongo as nice to haves)
  • A positive, confident, and determined approach
  • Excellent communication and interpersonal skills
  • Excellent problem solving and critical thinking skills
  • Detail oriented and organised
  • Demonstrate a high-degree of self-motivation, initiative and ambition
  • Ability to translate business requirements into technical analysis
  • Client facing, with ability to listen and to learn
  • Educated to bachelor’s degree ideally in a science, engineering or mathematics discipline Relevant experience in dealing with time series data and large data sets
  • Relevant experience in the banking/finance and alternative investments space is preferred

To apply please email your CV to the following consultant:  

Nicholas Ferrie
020 3763 3903