Director of Loss Forecasting
Splash Financial
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $220,000 per year
Job Level
Lead
Tech Stack
Python
About the role
- Own and evolve loss forecasting methodologies across Splash’s lending products, incorporating both macroeconomic and portfolio-level drivers.
- Identify and analyze key risk drivers using advanced statistical and quantitative techniques to improve forecast accuracy and reliability.
- Translate complex modeling outputs into clear, actionable insights for executive leadership and lender partners.
- Partner cross-functionally with Data Science, Credit, Finance, Servicing, and Product teams to align forecasting outputs with credit and collection strategies.
- Monitor model performance and recalibrate forecasts based on portfolio behavior, economic conditions, and business changes.
- Build and enhance dashboards and reporting that improve forecast transparency, interpretability, and stakeholder trust.
- Lead innovation in forecasting approaches, tools, and technologies to stay ahead of industry best practices.
- Drive strategic initiatives related to risk mitigation, portfolio optimization, and business growth.
- Serve as a trusted advisor to senior leaders and external partners on loss outlooks and risk trade-offs.
- Support new product launches by ensuring scalable, well-designed loss forecasting frameworks are in place.
Requirements
- Advanced degree (Master’s or PhD) in Statistics, Data Science, Economics, Mathematics, or a related quantitative field.
- 8+ years of experience in loss forecasting, credit risk modeling, or a closely related role within financial services or lending.
- Strong understanding of statistical modeling techniques, including regression, time series, and machine learning methods, with the ability to guide model selection and application.
- Proficiency in Python is a strong plus, including experience using Python-based analytics or modeling workflows to explore data, validate assumptions, or partner effectively with data science teams.
- Deep knowledge of credit risk fundamentals and macroeconomic drivers impacting consumer lending portfolios.
- Experience working with large, complex datasets and collaborating closely with data science teams.
- Strong business judgment and the ability to connect analytical insights to strategic and financial outcomes.
- Excellent communication skills, with experience presenting complex analyses to executive audiences and external partners.
- Proven ability to work cross-functionally and influence stakeholders across disciplines.
- Demonstrated leadership in driving analytical initiatives, managing projects, or mentoring team members.
- Curiosity and innovation mindset, with a desire to continuously improve forecasting approaches and tools.
- Comfort operating in a fast-growing, evolving environment with increasing product and portfolio complexity.
Benefits
- Fully remote work freedom
- Competitive salary packages
- Flexible PTO + 9 company holidays
- Equity: Share in our start-up success
- Comprehensive and affordable insurance benefits
- Paid parental leave for both caregivers
- Essential equipment to get the job done
- 401(k) for your future savings
- Quarterly meet-ups: In person & virtual fun
- Awesome Splash swag to flaunt your team spirit
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
loss forecastingcredit risk modelingstatistical modelingregressiontime seriesmachine learningPythondata analysisdashboard developmentquantitative techniques
Soft skills
communicationbusiness judgmentcross-functional collaborationleadershipinfluencecuriosityinnovation mindsetstrategic thinkingmentoringproject management
Certifications
Master’s degreePhD