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Quantitative Analyst - Data Science Python Excel

Job Title: Quantitative Analyst - Data Science Python Excel
Contract Type: Permanent
Location: London, England
Salary: £45000 - £60000 per annum + benefits
REF: BB/14840/B/JR/060320_1583496735
Contact Name: Data Team
Contact Email:
Job Published: 12 months ago

Job Description

Quantitative Analyst (Data Science Python Excel Computer Science). Are you a bright, ambitious Quantitative Analyst, looking for an opportunity to work on a range of exciting projects and gain invaluable experience in a pioneering FinTech?

The organisation specialises in credit ratings, translating global level insights into local level solutions to support market-leading investors to make important credit judgements with confidence.

As a Quantitative Analyst, you'll join the newly formed Model Development team, working with talented developers and analysts to develop and enhance data models used in the credit rating process, (such as cash flow models, capital models and econometric models) conducting comprehensive testing and preparing model documentation.


*You have a 2.1 or above in a quantitative discipline, i.e. Mathematics, Statistics (MSc or PhD highly desirable)
*You have experience with Cash Flow modelling
*You are highly proficient in Excel
*You have Quantitative, programming and modelling experience (Python)
*You are a process-minded individual, committed to producing technically-excellent work and upholding the company model governance framework
*Desirable: Database, R or UI design skills, previous exposure to credit rating analysis or modelling

You'll be based at offices in the heart of the City, which host a relaxed yet professional atmosphere. As a Quantitative Analyst you'll earn a highly competitive salary (to £60k) plus a comprehensive benefits package, including private medical insurance, generous pension contributions, season ticket and computer loans, subsidised gym membership and more.

If you are interested in this Quantitative Analyst role, apply now or call today for a confidential discussion.