CREDIT RISK CONSULTANT

UP TO £80,000

NOTTINGHAM

This role is a core role within the client analytics function of this consultancy. You will use bureau data to assist client queries and modelling assignments. You will engage heavily with internal stakeholders and external clients to support and drive revenue for the business.

THE COMPANY

This company is a global data, analytics, and technology consultancy. They play a key role in the global economy by helping financial institutions, companies, governmental agencies, and employers make better informed decisions.

THE ROLE

You will be doing the following daily:

Actively engage with clients, building partnerships with their risk and analytics teams, and gaining in-depth knowledge of relevant industries, client business models, challenges, and opportunities. Craft persuasive proposals to secure new analytics and consultancy projects. Manage the delivery of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse audiences, including C-suite executives, to facilitate better business decisions and enhance profitability. Understand the regulatory environment in which clients operate. Collaborate closely with internal Sales and Strategy Consulting teams to identify and shape broader opportunities and solutions.

YOUR SKILLS AND EXPERIENCE

Experience with SAS, SQL, or Python in a credit risk environment is required. Strong academic background in a STEM field. Experience with credit bureau data needed. 6 + years of experience in a credit risk / model development environment. Previous consultancy experience is desirable. Strong data analysis skills. Excellent written and verbal communication skills.

THE BENEFITS

Up to £80,000 salary. Discretionary bonus. Pension scheme. Hybrid working model.

HOW TO APPLY

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