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Financial Credit Analyst

Cognitive Credit Limited London, United Kingdom
Posted 23 days ago Permanent £60k
O
Posted by
Oliver Bell
Recruiter

Cognitive Credit is expanding our financial analyst team to support a Global Bond product data set and we are looking for auditors with Big 4 accounting experience to work hand-in-hand with our technology team and senior management to build and maintain our data sets.

We are a financial technology company that develops advanced analytics software for global credit investors. We work with the world’s largest investment banks, asset managers, and hedge funds. Our aim is to automate as much of a credit analyst’s workflow as possible to free up institutional investors’ resources and empower their businesses to be as productive and insightful as possible. 

The primary job responsibility relates to collecting and managing corporate financial data.  The analyst utilizes our proprietary technology to build and maintain our data set – financial models across US and European credit markets.  We seek passionate, innovation-minded finance and accounting professionals who want to expand their career in a high-growth setting and gain exposure to the fintech industry.  

An ideal candidate for this position will have an accounting or corporate finance education, with professional training in corporate accounting/audit, financial analysis and/or credit markets.

This job is for you if: 

  • you have an accounting background and/or are a skilled accountant from a Big 4 accounting firm/ financial data analyst looking to develop new skills, both financial and technological, while expanding your professional horizons
  • you are highly analytical, detail-oriented, motivated by data integrity challenges, and can work independently
  • you believe that there ‘must be a better way’ with respect to automating the repetitive tasks in your current job
  • you are interested in working in an environment with fast growth potential that prioritizes innovation
  • you take ownership to drive solutions and are a self-starter

Required Education/Experience/Skills:

  • Strong academic track record, with a background in accounting and/or finance
  • Accounting and/or finance qualifications such as ACA preferred from a Big 4 accounting firm
  • Financial statement audit/analysis capabilities; familiarity with creating financial models/reports from scratch
  • IFRS experience is essential; US GAAP experience is useful
  • Ability to demonstrate superior work performance, attention to detail, and a commitment to outstanding results
  • Good Excel knowledge plus experience with data management
  • Passion for technology and learning new tools

Typical Day:

  • Growing our data by processing financial reports using the Company’s proprietary data extraction system, assembled using cutting-edge machine learning technology
  • Analyzing resulting output for accuracy and completeness using internally developed audit tools and techniques
  • Monitoring / “owning” your coverage universe to support live data updates during corporate earnings season
  • Interacting with our clients, the world’s leading investment firms, to answer questions about data and product functionality; supporting sales and account management teams
  • Discussing product priorities and strategic objectives with a management team that has many decades of buy-side and sell-side experience working in intuitional credit markets
  • Collaborating with the engineering team to review system performance and identifying opportunities for improvement, including both internal analyst tools and our client-facing Application

Compensation:

Competitive pay and benefits, subject to individual experience, with potential for share option plan


Work Environment:

Dynamic, innovative, analytical, and collaborative.


Location:

The position can offer a high degree of remote working flexibility.  The parent company is based in London, UK.


We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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