Achieve · 1 day ago
Sr. Data Scientist (Loss Forecasting)
San Mateo, CA
Full-time
Hybrid
Mid, Senior Level
$150K/yr - $185K/yr
3+ years expAchieve is a leading digital personal finance company, and they are seeking a Sr. Data Scientist (Loss Forecasting) to enhance their loss forecasting methodologies for unsecured personal loans. The role involves working with large data sets, collaborating with various teams, and automating processes to improve forecasting accuracy and efficiency.
Financial Services
No H1B
Responsibilities
Maintain and enhance loss forecasting methodologies/models/processes (e.g., for loan charge-offs, delinquencies, roll rates, recoveries) for unsecured personal loan portfolios
Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to support forecasting and reporting
Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance (vintage, credit bands, borrower attributes, macro factors) and provide insight into model deviations
Maintain forecast deliverables: monthly/quarterly loss forecasts by vintage and segment, stress and scenario analyses, sensitivity testing
Provide commentary and insight to business stakeholders on forecast outcomes, assumptions, model health, and emerging portfolio risks
Automate reporting, dashboards and pipelines to streamline loss forecasting workflows and improve efficiency and accuracy
Document model methodologies, assumptions, data sources and results in clear, audit-ready format consistent with risk governance requirements
Participate in governance and review of forecasting methodology, model validation support and liaise with external auditors or regulators where needed
Continuously identify opportunities to improve forecasting accuracy, data infrastructure, modeling techniques, and integrate advanced statistical or machine-learning techniques as appropriate
Qualification
Required
Minimum of 3 years' hands-on experience in loss forecasting (credit risk, loan portfolios, unsecured consumer loans or similar). For example, roles in forecasting charge-offs, delinquencies, vintage analysis, roll-rates, etc
Strong programming skills in Python and SQL for data analysis, modeling and automation
Strong skills with data visualization tools like Tableau and AI tools that materially improve productivity
Solid background in Probability & Statistics
Experience with forecasting methodologies: time-series analysis, vintage modeling, roll-rate curves, survival analysis or logistic regression in consumer credit risk context
Strong analytical and critical thinking skills; ability to interpret results, identify trends, draw actionable insights and communicate clearly to non-technical stakeholders
Excellent documentation skills and experience in preparing audit-ready deliverables (methodologies, assumptions, model validation support)
Master's degree in Economics, Statistics, Mathematics, Data Science or a related quantitative discipline (PhD preferred but not required)
Preferred
Experience in unsecured consumer lending (personal loans or credit cards) or fintech lending environment
Experience with forecasting for allowance/reserve processes (e.g., CECL, IFRS9) or stress-testing
Experience working in the GCP environment
Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team
Benefits
Hybrid and remote work opportunities
401 (k) with employer match
Medical, dental, and vision with HSA and FSA options
Competitive vacation and sick time off, as well as dedicated volunteer days
Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts
Up to $5,250 paid back to you on eligible education expenses
Pet care discounts for your furry family members
Financial support in times of hardship with our Achieve Care Fund
A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups
Company
Achieve
Achieve is the leader in digital personal finance, built to help everyday people thrive.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Bradford Stroh
Co-CEO/Founder
Carlyn Lamia
Vice President Strategic Initiatives, Chief of Staff to CEO
Recent News
2025-02-13
Company data provided by crunchbase