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Senior Quantitative Consultant

Harnham - Data & Analytics Recruitment
Posted 11 hours ago, valid for 21 days
Location

London, Greater London EC1R 0WX

Salary

£36,000 - £43,200 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Senior Quantitative Consultant specializing in Credit Risk, offering a salary of up to £80,000 in London.
  • This role requires a minimum of 3-5 years of experience in credit risk modelling and a strong understanding of IFRS 9 and regulatory frameworks.
  • Candidates will lead the design, development, and validation of credit risk models, focusing on IFRS 9 compliance and quantitative analysis using Python.
  • The consultancy is a fast-growing boutique firm, making this a unique opportunity for significant career growth.
  • Benefits include generous equity/shares in the business and a flexible working pattern.

SENIOR QUANTITATIVE CONSULTANT (CREDIT RISK)

UP TO £80,000

LONDON

This role does NOT offer visa sponsorship

This is an exciting opportunity to join a fast-growing boutique consultancy, working across risk analytics, and modelling services for leading global financial services.

THE COMPANY

This company offers cutting-edge solutions in capital management, stress testing, and credit risk. This would be the business's 3rd hire, making it a rare opportunity to join a consultancy with significant growth potential.

THE ROLE

You will be doing the following daily:

  • Lead the design, development, and validation of credit risk models, with a primary focus on IFRS 9.
  • Have an in-depth understanding of Basel and IFRS 9 regulatory frameworks, ensuring full compliance throughout the model development lifecycle.
  • Carry out quantitative analysis using Python for, risk modelling, and automation
  • Develop advanced statistical models, including time series, logistic regression, and decision trees, tailored to meet specific client requirements and goals.
  • Manage end-to-end modelling projects, from data analysis to delivering actionable insights, ensuring timely and successful project completion for clients and stakeholders.
  • Clearly articulate complex modelling results and insights to both technical and non-technical audiences, including senior leadership.

YOUR SKILLS AND EXPERIENCE

  • Extensive experience with IFRS9, and IRB or Stress Testing frameworks is highly desirable.
  • Strong understanding of IFRS9 regulatory frameworks.
  • Proficiency in Python, with SAS and R being desirable.
  • Previous stakeholder management experience.
  • A minimum of 3-5 years of experience in credit risk modelling.
  • Numerate degree from a Russel Group university.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £80,000.
  • Generous equity/shares within the business.
  • Flexible working pattern.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.