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Financial Modelling Senior Consultant

Rsmuk

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Location
London - Farringdon Street, United Kingdom
Workplace
Remote, Hybrid
Type
Full-time
Department
Finance
Seniority
Senior
Source
Workday

Description

As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.


 

Make an Impact at RSM UK 

We’re looking for a hands-on Quantitative Analytics & Risk Modelling Senior Consultant with 3 years’ experience to build, validate, and enhance statistical and machine learning models that drive credit decisioning, portfolio monitoring, capital computation, and impairment forecasting. You’ll partner with Risk, Product, and Data teams to ship robust models from development into production, with clear governance and documentation.

You’ll make an impact by:

  • Delivering models that raise approval quality and reduce bad debt without stifling growth

  • Enhancing IRB capital estimates and IFRS 9 ECL accuracy, improving RWA efficiency and P&L predictability

  • Streamlining analytics pipelines, cutting time-to-insight and enabling faster product iterations

  • Establishing clear monitoring and early-warning indicators, reducing model risk and surprise losses

  • Producing audit-ready documentation and evidence, lowering supervisory findings and remediation costs

What we are looking for:

We value diverse experiences and perspectives. Here’s what we’re looking for in our ideal candidate:

  • Bachelor’s or Master’s in Statistics, Mathematics, Econometrics, Data Science, Computer Science, or related field

  • 3 years in credit risk modelling/analytics within a bank, lender, or consulting firm

  • Exposure to Python, SAS, SQL, R and dashboarding in Power Bi or Tableau

  • Solid understanding of PD/LGD/EAD, IFRS 9 impairment, and Basel III/IV IRB concepts

  • Experience with segmentation, curing/roll rates, delinquency/collections strategies, and provisioning mechanics

  • Ability to translate complex model behaviour into business-friendly narratives and visuals and to frame hypotheses, design robust experiments, and explain results succinctly

What we can offer you:

We recognise that our people are our most important assets. That’s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.

  • Study Support (FRM, CFA)

  • Hybrid and Flexible working

  • 26 Days Holiday (with the option of purchasing additional days) 

  • Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.

  • Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.

#L1-LC1


 

Diversity and Inclusion at RSM

At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.
At RSM we work hard to create an environment where our people can make a difference - to themselves, their career, their teams, and to the success of our firm and clients. We support all our people to work flexibly, to manage their family and other responsibilities alongside their work commitments; we believe this is key to achieving an inspiring and fulfilling working environment.

Skills

PythonSQLMachine LearningData ScienceTableauPower BIIFRSCFA

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