RSM UK
Senior Consultant – Quantitative Modelling

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Company Description
RSM is a leading global network of audit, tax, and consulting firms that shares skills, insight, and resources across member firms. The organization is committed to a client-centric approach built on a deep understanding of each client’s business and sector. This collaborative model enables RSM professionals to deliver tailored solutions to complex challenges. Team members are empowered to help clients move forward with confidence, reflecting RSM’s promise of “The Power of Being Understood.”
Role Description
This full-time, on-site Senior Consultant – Quantitative Modelling role is based in the United Kingdom. The role involves designing, implementing, and validating quantitative models to support risk management, regulatory compliance, and strategic decision-making for clients. Day-to-day activities include:
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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- Analyzing large data sets
- Developing statistical and financial models
- Documenting methodologies
- Preparing clear reports and presentations for both technical and non-technical stakeholders


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The Senior Consultant will:
- Collaborate with cross-functional teams
- Contribute to model governance and performance monitoring
- Support client engagements through workshops, meetings, and ongoing advisory
- Mentor junior team members
- Contribute to the enhancement of modelling tools, standards, and best practices within the firm
Qualifications
- Strong quantitative and analytical skills, with experience in statistical modelling, econometrics, or financial modelling.
- Proficiency in relevant tools and programming languages (e.g., Python, SAS, SQL, or similar data and modelling platforms).
- Understanding of risk management, regulatory frameworks, or capital and liquidity modelling in financial or related sectors.
- Ability to interpret complex data and models, and communicate insights clearly in written reports and presentations.
- Experience working in consulting, financial services, or a quantitative analytics environment.
- Advanced degree in a quantitative discipline (e.g., Mathematics, Statistics, Finance, Economics, Engineering, Data Science) or equivalent experience.
- Strong problem-solving skills, attention to detail, and commitment to high-quality, ethical work.
- Ability to work collaboratively with diverse teams and manage multiple projects and deadlines.
- Willingness to engage with clients on-site, build long-term relationships, and support business development activities.
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