Quantitative Analyst

6 hours ago

London, United Kingdom Credit Benchmark Full time

Join our team of technology, financial services and data experts.

Credit Benchmark is a financial data analytics company bringing together the credit risk assessments of the world’s leading financial institutions to deliver greater visibility into the credit quality of individual entities.

We are growing rapidly and are looking for a full-time Quantitative Analyst to join our London Team.

The role will be based in our London office, with hybrid working.

The role

Reporting into the Analytics team, the role is to lead improvements in data quality by developing & improving algorithms for processing our data.

Credit Benchmark aggregates data from many of the largest banks in the world and combines this with external datasets to create unique derived output, including credit consensus ratings.

The ideal candidate will have some experience within the financial industry with an interest in credit risk and the broader financial markets.

This is a great opportunity to join a collaborative organisation that builds a unique financial data service harnessing intelligence from some of the most prominent financial institutions around the world. You will also be collaborating with different teams across the company, including the technology, marketing, sales, and bank client relationship team. This gives you unique exposure and insight into numerous departments and areas of the business.

As a Quantitative Analyst, you will be part of a busy and diverse team. You will play a key part in applying your statistical & data analysis knowledge to research & develop new algorithms. You will work with other teams to generate new ideas and implement algorithms into our production processes.

On-the-job training and further professional development will be provided allowing for the opportunity to build a comprehensive and valuable skillset.

Your responsibilities will include
  • Be the lead person for improving data quality through algorithmic approaches
  • Run regular data quality meetings including:
    • Upwards to management
    • Between teams impacted by data quality & involved in implementing new approaches in production
  • Consolidate feedback from external clients and internal users to identify themes
  • Develop and improve processes, rules & algorithms for improving the quality of Credit Benchmark’s products
    • Examples include areas such as:
      • Improved algorithms for joining external data feeds to contributed bank data
      • Identifying unique legal entities by combining data sources
      • Improving rules for identifying outliers & unusual data points
  • Implement algorithms in the shared python library and work with the development team to deploy these into production
  • Document new algorithms and present these within company meetings & to external clients
What we are looking for

Ideally you will:

  • A master’s degree in a STEM subject or Financial Engineering with a significant statistics component
  • 4-7 years’ experience in a financial institution using & processing company &/or credit risk data
  • Experience in Python (required)
  • Strong data-analytical skills, knowledge of statistics and econometrics
  • The ability to understand technical complexity
  • Proven experience with independent research
  • An intellectual curiosity, with the drive and ability to demonstrate initiative to improve existing processes
  • Strong attention to detail whilst being diligent and determined to deliver high-quality output
  • Excellent administrative and project management skills
  • Experience in managing competing priorities and effectively deliver to deadlines
  • Excellent communication skills, both oral and written
Our commitment to diversity, equity, and inclusion

At Credit Benchmark, we are deeply committed to diversity, equity, and inclusion. This means celebrating who we are as individuals and as a team because our company and culture reflect the sum of our employees.

We strive to create a mindful and respectful environment that includes fairness, kindness, and understanding. We empower each other to bring our authentic selves to work and champion our colleagues’ development and achievements. Our diversity brings a multitude of perspectives and ideas and is imperative to the success of our business.

We are dedicated to ensuring that principles of diversity, equity, and inclusion are rooted in Credit Benchmark’s DNA. We continue to build on these principles as our company grows while retaining the progress we have made as a team.

Credit Benchmark is proud to be an Equal Employment Opportunity employer. We believe no one should be at a professional disadvantage because of their background. We do not discriminate based upon any legally protected characteristic and are committed to fostering a working culture that is free of discrimination and harassment.

Credit Benchmark is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures and employment.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let us know by contacting our HR team at careers@creditbenchmark.com

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