Credit Risk Modelling Analytics - Career

Responsibilities

• Works in Data and Analytics to independently design projects to meet business needs
• Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable
• Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions
• Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members
• Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
• Solve complex internal or customer analytical problems across various business domains and areas of expertise
• Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals
• What experience you need
• BS degree in a STEM major or equivalent discipline
• 5-7 years of experience in a related analyst role
• Cloud certification strongly preferred
• Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker
• Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities
• Model development experience in the Retail banking sector or Credit Reference Agencies strongly preferred
• What could set you apart
• 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)
• Experience with model risk management and/or compliance
• Expertise in scorecard validations within a given industry sector
• Previous analytical consultancy in a big data en

Additional Information

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. As an Equifax Model Performance Monitoring Analytics Consultant 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 Consultant you will have expert knowledge of the way scorecards and models are built, having worked on a number of developments across several verticals. Your Model performance monitoring outputs will be presented and reviewed at the Equifax Analytics Governance body the Analytics Council. As an Equifax Model Performance Monitoring Analytics Consultant you will : Develop and implement monitoring systems for statistical models using proven experience in statistical model development and in-depth analytical and modeling expertise, leveraging CRA data assets. Manage all stages of Model Performance Monitoring projects, including design, development, and execution, to meet quality standards and project timelines. This encompasses all model types, such as logistic regression and Machine Learning techniques. Support the Equifax business with technical model monitoring and validation expertise and consultancy, leading to constructive and effective working relationships with other departments and business units including model owners, model developers, platform owners, marketing, technology, compliance, legal and business owners. Lead the implementation of on-going step improvements in Equifax model performance monitoring software and processes / procedures. Communicate analytical Model performance results to cross functional stakeholders and senior Analytics leaders. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making. Understand of the regulatory landscape with respect to CRA Model Performance Monitoring and the potential impact to our clients

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