RESPONSIBILITIES:

• Risk Analytics: Leverage and integrate data streams to deliver reporting and analytic insights with a focus on providing end users with superior credit, risk, affordability, and underwriting strategies
• Data & Analytics Strategy: Research and contribute to the formulation of Nova Credit’s long-term data strategy with global credit bureaus, alternative data providers, and evolving predictive data sources 
• Business Support: Develop a robust customer-facing knowledge base and set of tools to communicate the intricacies of Nova Credit’s platform, bureau integrations, and data assets. Support Business Development and Success teams in product expansion, inquiry, and resolution work streams.
• Credit Data Administration: Manage and organize data libraries for each international credit bureau; support queries on credit data mapping and alignment for each country; design and manage credit data intranet, ensuring data is accurate and accessible

YOUR SKILLSET:

• 2+ years of experience working with consumer credit data, consumer credit risk analytics/modeling, and/or underwriting strategy development 
• Technical skills: SQL, R, Python
• MBA/MS degree; relevant Master’s preferred (e.g., Statistics, Economics)
• Intellectual curiosity is essential, along with creativity and technical expertise, as you work with data from diverse sources to develop powerful insights
• Strong interpersonal skills (including technical communications) to develop and manage multiple external relationships and coordinate resources cross-functionally with multiple internal teams, to deliver an excellent client experience
• Experience in consumer financial services; a capacity to develop simple industry-standard analyses and tools

SAMPLE PROJECTS:

• Integrate a new international credit bureau in collaboration with our engineering team
• Provide credit risk insights from existing Nova Credit data integrations, leveraging SQL & Python
• Conduct data quality/integrity checks using R or Python