Senior Staff Financial Risk Analyst - Fintech
Intuit · New York, NY · 2 wk ago
On-siteFinance$187k–$253k/yrFull-time
About the role
The Senior Staff Financial Risk Analyst will manage and develop new risk capabilities and policies for small business and mid-market fintech offerings. This role involves enhancing and developing policies across the journey of the customer in offerings like Payments, Payroll, and Bill Pay, balancing growth vs. financial exposure, and developing the right risk experiences.
Responsibilities
- Focused on managing risk for small business and mid market Fintech offerings by developing capabilities and policies across all products like rolling reserves, customer level limit framework etc. for better customer experience while managing losses.
- Develop and implement risk strategies and policies and drive business growth by supporting and scaling strategies for the Money services portfolio.
- Work with the Fraud Risk, Data Science, Engineering, Product and Governance Committee to set overall direction, risk appetite, quality, and seamless execution of capabilities and policies.
- Develop and Enhance the Financial Policy and program and establish a framework to ensure business activities are following internal policies and regulatory requirements.
- Partners 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 business solutions risk and analytics spaces.
- Make decisions that impact cross-functional priorities, strategy, and outcomes related to global business solutions.
- Collaborate with stakeholders and analysts to ensure analytical and risk solutions are scalable, repeatable, effective, and meet expectations of various stakeholders in the global business solutions area.
- Use big data technology to mine massive scale transactional data to improve financial risk mitigation strategies for global business solutions and design new risk-adjusted policy proposals.
- Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data does not exist, specifically in the global business solutions 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.
- Ensuring data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new global business solutions initiatives and product releases.
- Mentor, coach, and develop Financial Risk Analysts to drive creative ideas, use of the latest data techniques, and elevate outcomes within global business solutions.
- Identify and evaluate new vendors / data sources and create business cases.
- Managing internal and external relationships, including internal and external audit, external credit agencies, regulators to ensure accurate and timely information.
Qualifications
- Excellent track record of driven policy development and execution in the data and risk space 10+ or more years of experience leading conversations across teams to drive for business requirements clarity, build, and launch, with a strong emphasis on global business solutions.
- Ability to manage multiple projects simultaneously to meet objectives and key deadlines in the global business solutions domain.
- Expert in one of the following analytics tools, such as AI skills and agents, 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 global business solutions.
- Strong strategic mindset but also willing to roll up your sleeves and get into the details, coaching team members where needed, particularly in the global business solutions 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 global business solutions.
- 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 global business solutions.
- Analytically minded with experience working on large-scale data projects; product management experience would be a plus, especially within global business solutions.
- Strong organization, time management, and task prioritization skills.
- Domain experience in FinTech, AI, Risk, Financial services, with specific expertise in Fraud and Business Solutions, is highly advantageous.
- Undergraduate degree required (Economics, Statistics, Engineering, etc.); advanced degree preferred.