Consultant - Client Analytics

2 weeks ago


London, United Kingdom Equifax Full time

As an Equifax Consultant, you will play a pivotal role in the Client Analytics team within Data and Analytics (D&A). You will work closely with clients to proactively understand their challenges, propose and develop solutions and lead the execution of analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers / stakeholders and will manage multiple analytics and consultancy projects.

**What you’ll do**:

- Proactive client engagement, developing partnerships with risk / analytics counterparts within clients; developing a deep knowledge of the relevant industries, clients’ business models, challenges and opportunities to address these.
- Write compelling proposals to win new analytics and consultancy opportunities
- Responsible for supporting the delivery of analytical projects leveraging CRA data assets. This includes credit strategy and model developments to the required quality standards and timescales. This will cover all stages, including sample design, retrospective analysis, performance analysis, population split analysis and reject analysis.
- Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems.
- Application of data mining tools and programming languages SAS, SQL and Python to prepare data, undertake analysis and develop solutions for internal and external clients.
- Responsible for presenting proposals, approaches and results to stakeholders, including complex statistical techniques to a range of technical / non technical audiences of all sizes through to C-Suite, to generate improved business decisions and profitability.
- Understanding of the regulatory landscape within which the assigned clients operate
- Work closely with internal Sales and Strategy Consulting teams to inform and shape broader opportunities and solutions

**What experience you need**:

- Relevant numerical degree with a 2:1 or above or equivalent experience
- Experience in programming languages SAS, SQL and Python in a credit risk environment
- Experience in the use of credit bureau data
- An innovative mindset, with experience identifying opportunities that deliver incremental business benefit through leveraging of data and analytics
- Strong technical expertise and experience of statistical techniques to solve business problems
- Strong communication and consulting skills, with the ability and confidence to present to business partners and clients
- You possess excellent written and verbal communication skills with the ability to communicate with team members and clients at various levels, including business leaders.
- Extensive hands-on experience in a credit risk / model development environment

**What could set you apart**:

- Previous analytical consultancy in a big data environment
- Deep understanding of the industry / regulatory landscape
- Exposure to machine learning techniques
- Additional languages desirable are VBA or Google Apps Script
- Cloud experience using GCP or Amazon AWS



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