Rippling is seeking a Manager/Senior Manager for Financial Risk Analytics to lead advanced analytics and forecasting. This role is crucial for managing and mitigating financial and operational risks across Rippling's financial product suite.

You will be instrumental in shaping the strategy for risk forecasting, loss provisioning, and data-driven reporting. The ideal candidate possesses a strong leadership background, excels at managing technical teams, and can translate complex analytical insights into actionable recommendations for senior leadership.

Lead advanced analytics and forecasting initiatives, ensuring the development of robust risk management capabilities.

Oversee risk loss provisioning modeling and forecasting, collaborating closely with Finance and Accounting.

Develop models to forecast risk servicing volumes, supporting effective capacity planning.

Create comprehensive risk portfolio reporting and multi-taxonomy reports for senior management, covering financial and operational risks.

Design and maintain automated analytics dashboards for timely and actionable insights into credit risk performance.

Collaborate with Product, Engineering, Risk Strategy, and Finance teams to embed risk insights into strategic decisions.

Mentor and manage a team of risk data scientists and analysts, fostering a culture of analytical rigor and innovation.

A minimum of 5-8 years of experience in data science and risk analytics, with a proven ability to tackle complex risk challenges using advanced analytical methods, ideally within financial or fintech sectors.

Possess at least 3 years of experience in leading advanced analytics or forecasting teams.

Demonstrate deep, hands-on experience in risk loss provisioning modeling, forecasting, and reporting (e.g., CECL, IFRS 9).

Hold a Master’s degree or PhD in a quantitative field such as Data Science, Mathematics, Statistics, or Economics.

Exhibit expert proficiency in Python, R, SQL, and familiarity with version control systems like Git.

Possess exceptional communication and stakeholder management skills, with the ability to convey technical findings clearly to diverse audiences.