Develop and implement credit risk strategies and policies and drive business growth by supporting and scaling strategies for consumer lending and banking portfolio
Develop & Enhance the credit Policy and program and establish a framework to ensure lending activities are in compliance with internal policies and regulatory requirements
Partner with teams across Intuit (including product development, marketing, data engineering, compliance, risk , data scientists etc.) to enable decision support and key customer insights in the consumer banking risk and analytics spaces.
Collaborate with stakeholders and analysts to ensure analytical & risk solutions are scalable, repeatable, effective, and meet expectations of various stakeholders in the consumer lending area.
Use big data technology to mine massive scale transactional data to improve credit risk strategies for consumer lending and banking and design new risk-adjusted policy proposals.
Improve the current customer experience in consumer banking by deploying risk mitigations enabling product feature expansion to industry standard.
Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist, specifically in the consumer lending context.
Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers
Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new consumer lending initiatives and product releases.
Mentor, coach, and develop fraud Risk Analysts to drive creative ideas, use of the latest data techniques, and elevate outcomes within consumer lending.
Identify and evaluate new vendors / data sources and create business cases to enhance risk policies
Qualifications
Proven leader in the data and risk space with 7+ or more years of experience leading conversations across teams to drive for business requirements clarity, build, and launch, with a strong emphasis on consumer lending.
Ability to manage multiple projects simultaneously to meet objectives and key deadlines in the consumer lending domain.
Expert in one of the following analytics tools, such as Python, R, SAS, and any environment under SQL.
Outstanding communications skills with both technical and non-technical colleagues, including telling compelling stories with data, especially in consumer lending.
Strong strategic mindset, but also willing to roll up your sleeves and get into the details, coaching team members where needed, particularly in the consumer lending context.
Experience working with BI tools such as Tableau , quicksight, databricks.
Proven history as a self-starter who seeks the problem, doesn't wait for the problem to find them with excellent problem-solving skills and end-to-end quantitative thinking in consumer lending.
Demonstrates highly effective cross-functional leadership and experience working in a large matrixed organization, aligning cross-functional stakeholders, gathering business requirements, and launching product features in a fast paced environment , with a focus on consumer lending.
Analytically minded with experience working on large-scale data projects; product management experience would be a plus, especially within consumer lending.
Strong organization, time management, and task prioritization skills.
Domain experience in FinTech, Risk, Financial services, with specific expertise in Consumer Lending, is highly advantageous.