Model Governance Senior Consultant

As an Equifax Model Performance Monitoring Analytics Lead you will play a pivotal role in the Model Governance function within Data and Analytics (D&A). You will deliver and manage Model Governance projects, including complex modelling monitoring and supporting ongoing validation assignments. You will provide consultancy and have engagement with key stakeholders such as Core and Client Analytics, Product, Compliance and Data Privacy. As a Model Performance Monitoring Analytics senior Consultant you will have expert knowledge of the way scorecards and models are built, having worked on a number of developments across several verticals. You will have the opportunity to manage analysts. Your Model performance monitoring outputs will be presented and reviewed at the Equifax Analytics Governance body the Analytics Council.

What you’ll do

• Utilise subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects

• Collect, analyse and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities

• Contribute to evaluation of new data sources, provide recommendations on value of data sources, and design code to improve the productivity of Equifax, enhance and update code where needed.

• Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions

• Able to analyse and prepare complex and new data sources and incorporate them into analytical solutions.

• Package, summarise, visualise and perform storytelling on analytical findings and results for management and business users

• Communicate results to senior management and external stakeholders, able to communicate the strategic impact of the work

• Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy

• Serve as SME consultant for COE / Business Unit / Regions, share best practices globally
  

What experience you need

• Relevant numerical degree with a 2:1 or above

• Hands-on experience in a credit risk / model development environment developing statistical models, with hands on detailed analytic & modelling expertise, ideally leveraging CRA data assets

• Experience in scorecard monitoring

• Experience in the use of credit bureau data

• Experience in programming languages SAS, SQL and Python in a credit risk environment

• Strong written and verbal communication and consulting skills, with the ability and confidence to present to business partners and senior management

• Proficiency with Google suite or MS Office (docs/Word, sheets/Excel, slides/PowerPoint)

What could set you apart

• Experience with model risk management and/or compliance

• Expertise in scorecard validations within a given industry sector

• Previous analytical consultancy in a big data environment

• Exposure to machine learning techniques

• Experience with data visualization tools.

• Cloud experience using GCP or Amazon AWS