{"id":3101755,"url":"https://alion.io/job/rippling-manager-financial-risk-analytics","title":"Manager - Financial Risk Analytics","company":{"id":15426,"name":"Rippling","domain":"rippling.com","url":"https://alion.io/company/rippling","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":282},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T17:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-22T17:35:00Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"As the manager for Financial Risk Analytics at Rippling, you will lead the advanced financial risk analytics and forecasting functions to manage and mitigate financial and operational risks across Rippling's financial product suite. You will be responsible for setting the strategy for risk forecasting, loss provisioning, and data-driven reporting. This is a critical leadership role for an individual with a proven track record of managing technical teams and translating complex analytics into strategic business recommendations for senior leadership.\n\nResponsibilities: \nLead Advanced Analytics and Forecasting: Direct a team focused on advanced analytics and forecasting methodologies, ensuring the development of cutting-edge risk management capabilities.\nRisk Loss Provisioning: Lead the modeling and forecasting of risk loss provisioning, working closely with Finance and Accounting teams to ensure accuracy and compliance.\nForecasting Risk Servicing Volumes: Develop models and forecasts for risk servicing volumes to inform capacity planning and resource allocation.\nRisk MIS and Multi-Taxonomy Reporting: Put together a comprehensive risk portfolio reporting for a complex set of products and work across multiple taxonomies to report on various risks to the organization (e. g., financial, operational risk) to senior management.\nAutomated Analytics Dashboards: Design, implement, and maintain automated analytics dashboards and reporting mechanisms to provide senior stakeholders with clear, timely, and actionable insights into credit risk performance and emerging trends.\nStrategic Collaboration: Partner with Product, Engineering, Risk Strategy, and Finance teams to integrate risk insights into product development, operational workflows, and overall corporate strategy.\nTeam Leadership and Development: Mentor and manage a team of risk data scientists and analysts, fostering a culture of rigorous analysis, innovation, and high-quality execution.\n\nRequirements: \n5-8 years of experience in data science and risk analytics: Proven ability to use advanced analytics and data science methods to address complex risk-related challenges, specifically within the financial or fintech industries.\n3+ years of experience in leading teams: Demonstrated success in leading and managing advanced analytics or forecasting teams and functions.\nDeep Experience in Risk Loss Provisioning: Hands-on experience with modeling, forecasting, and reporting for risk loss provisioning (e. g., CECL, IFRS 9).\nEducational background: Master's degree or PhD in a quantitative field such as data science, mathematics, statistics, economics, or a related discipline.\nExpert Proficiency in Data Analysis & Modeling: Expert-level hands-on experience with Python, R, SQL, and robust familiarity with version control (e. g., Git).\nExecutive Communication and Stakeholder Management: Exceptional communication skills with the ability to clearly articulate complex technical findings, strategic risks, and opportunities to both technical and non-technical senior stakeholders.\n\nNice to have: \nDirect Experience in FinTech/Financial Risk: Proven experience working in risk management or financial analytics functions for fintech or financial service companies, ideally within a fast-paced, tech-driven SaaS/FinTech environment.\nUnderstanding of regulatory requirements related to credit risk and financial reporting.\nFinancial Risk Management Certifications (e. g., CFA, FRM, PRM).\nSkills\ndata science, git, python, r, risk analytics, sql","description_format":"text","description_chars":3523,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","HR & Payroll Software","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-10-22T17:35:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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