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Product Data Analyst (UK)

  • Job
    Entry Level / Graduate
  • Product
  • London


  • Have a university degree in Computer Science, Finance, Economics or similar
  • Be highly numerate and confident working with large, complex data sets and associated systems
  • Be able to demonstrable competency in data tools such as SQL, Python, or R
  • Have an interest and knowledge in financial markets especially around credit risk
  • Be able to understand technical complexity
  • Have excellent administrative and project management skills
  • Can manage workload priorities and effectively deliver to deadlines
  • Be able to work under pressure in a professional manner
  • Have a hands-on, self-starter approach and be able to work independently
  • Be diligent, proactive, driven and ability to demonstrate initiative to improve existing processes
  • Have excellent communication skills, both oral and written
  • Eligible to work in the UK


  • Working, maintaining, and enhancing the Credit Benchmark structured data set
  • Ownership and development of the Credit Benchmark methodology and framework including identifying, prioritising, and delivering continuous improvements
  • Quality and execution of service: Ensuring the timely delivery of Credit Benchmark services
  • Partnership with external clients: Build and manage professional relationships with new and existing clients to support both initial onboarding and maximize the value that our clients receive from the Credit Benchmark offering by providing bespoke analytics
  • Supporting delivery of the content roadmap alongside the development team including requirement setting, sprint planning, user acceptance testing and release management
  • Develop and implement improvements to operational processes, increasing accuracy and efficiency of data processing


What level of experience is required for the Product Data Analyst role?

The ideal candidate will be a recent graduate or someone with 1-2 years' experience.

What tools should the candidate be proficient in for this role?

The candidate should have good knowledge of tools such as SQL, R, or Python.

What will be the primary focus of this role?

This role will be data-focused, requiring the candidate to explore and analyze Credit Benchmark's unique content set and communicate results to internal and external teams.

What responsibilities will the Product Data Analyst have within the product function?

The candidate will play a leading role in building out the service, refining the data framework, onboarding and analyzing new content sets, and working with development and technical teams to deliver against the roadmap.

Who will the Product Data Analyst report to?

The Product Data Analyst will report to the Content Development Manager.

Access the combined risk views of experts from over 40 of the world's leading financial institutions.

Founded Year

Mission & Purpose

Credit Benchmark provides Credit Consensus Ratings and Analytics based on contributed risk views from 40+ of the world’s leading financial institutions, almost half of which are GSIBs, domiciled in the US, Continental Europe, Switzerland, UK, Japan, Canada, Australia and South Africa. The risk views are collected, aggregated, and anonymized to provide an independent, real-world perspective of credit risk, delivered twice monthly to our partners. Credit Consensus Ratings and Analytics are available on 80,000 corporate, financial, fund and sovereign entities globally, most of which are unrated by credit rating agencies. Credit Benchmark also produces 1,200 credit indices, which help risk practitioners better understand industry and sector macro trends. Risk professionals at banks, insurance companies, asset managers and other firms use the data to gain visibility on entities without a public rating, inform risk sharing transactions (CRT / SRT), monitor and be alerted to changes within the portfolio, benchmark, assess and analyze trends, and fulfil regulatory requirements and capital.

Culture & Values

  • Shared purpose

  • Passion and enthusiasm

  • Integrity in our work

  • Working together

  • New ideas and people who challenge the mould

  • Friendly, inclusive and collaborative working environment for all

  • Supportive environment for you to explore your potential


  • Flexible working hours

    Healthy work/life balance

  • Working from home

    Opportunities to work from home and support to make your home working environment comfortable

  • Holidays

    Competitive holiday package for London and New York teams

  • Health and Wellbeing

    Paid sick leave for physical and mental health, bereavement leave, private health insurance, fitness and yoga classes, and healthy snacks

  • Pension

    Automatic enrolment into pension plans and financial education

  • Travel

    Cycle to work scheme in London and commuter benefits for our NY team

  • Family

    Paid maternity, paternity, adoption or shared parental leave

  • Learning and Development

    Professional development opportunities through seminars, conferences, training and courses

  • Community

    Regular company-wide socials, holiday parties, team meals and get-togethers