Manager/ Senior Manager - Financial Risk Analytics
Leads a team responsible for financial risk analytics, loss provisioning, forecasting, and executive risk reporting across fintech products. Requires substantial data science and risk experience, team leadership, quantitative graduate education, and expertise in Python, R, and SQL.
About the job
Responsibilities
- Lead advanced financial risk analytics and forecasting functions across Rippling’s financial product suite.
- Direct a team developing risk management analytics and forecasting methodologies.
- Model and forecast risk loss provisioning in collaboration with Finance and Accounting, including CECL and IFRS 9 applications.
- Develop forecasts for risk servicing volumes to support capacity planning and resource allocation.
- Build comprehensive risk portfolio reporting across financial and operational risk taxonomies for senior management.
- Design, implement, and maintain automated analytics dashboards and reporting for credit risk performance and emerging trends.
- Partner with Product, Engineering, Risk Strategy, and Finance teams to incorporate risk insights into product development, operations, and corporate strategy.
- Mentor and manage risk data scientists and analysts.
Requirements
- 5–8 years of experience in data science and risk analytics, preferably in financial or fintech industries.
- 3+ years of experience leading advanced analytics or forecasting teams and functions.
- Hands-on experience modeling, forecasting, and reporting risk loss provisioning, such as CECL or IFRS 9.
- Master’s degree or PhD in Data Science, Mathematics, Statistics, Economics, or a related quantitative discipline.
- Expert proficiency in Python, R, and SQL.
- Familiarity with version control, such as Git.
- Exceptional communication and stakeholder management skills, including the ability to explain complex technical findings and strategic risks to technical and non-technical senior stakeholders.
Nice to Have
- Experience in risk management or financial analytics at fintech or financial services companies.
- Experience in a fast-paced, technology-driven SaaS or fintech environment.
- Understanding of regulatory requirements related to credit risk and financial reporting.
- Financial risk management certification, such as CFA, FRM, or PRM.
Work Arrangement
- Hybrid role with overlap with NYC for four days, Monday through Thursday, until 1 p.m. EST.
Skills
Python, R, SQL, Git, Data Science, Risk Analytics, Risk Forecasting, Loss Provisioning, Cecl, Ifrs 9, Credit Risk, Financial Reporting, Forecasting, Analytics Dashboards, Risk Management
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