What are the responsibilities and job description for the Quantitative Analyst position at The Family Security Plan?
The Quantitative Analyst role focuses on applying analytical thinking to real business problems and developing, implementing and improving models that guide business decision making and operations.
This position requires someone who is comfortable working through ambiguity, forming reasonable assumptions, and focusing on the key drivers of business outcomes. The role also involves communicating complex analytical concepts in a clear and practical way to non-technical stakeholders, including senior leadership.
Candidates should have a strong foundation in mathematics, statistics, finance, or a related field, along with experience working with data using SQL. Exposure to forecasting or financial modeling is highly valuable. Experience with tools such as R or Python is beneficial, but the ability to think critically and understand model behavior is more important than any specific toolset.
This is an opportunity to work directly with Business Intelligence leadership, develop advanced analytical skills, and take ownership of work that directly influences revenue and strategic decision-making. Our work supports financial protection for families, and the impact of this role extends beyond analysis into real business outcomes.
What You’ll Do
- Own and improve revenue forecasting models used in monthly business planning
- Analyze sales performance and customer behavior to identify key drivers of revenue
- Build and refine analytical models that support business decision-making
- Translate ambiguous business questions into structured analyses and clear recommendations
- Communicate insights and model logic to leadership in a clear, practical way
- Continuously improve your work through iteration, testing, and learning
What We’re Looking For
- Strong analytical thinking and problem-solving ability
- Background in math, statistics, finance, or a related field
- Experience working with data using SQL
- Comfort working with forecasting or financial models
- Ability to explain complex ideas clearly to non-technical audiences
- Curiosity, ownership, and a desire to continuously improve
Education
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, Data Science, or a related field preferred
- Equivalent analytical experience or demonstrated quantitative ability will also be considered
Nice to Have
- Experience with R or Python
- Exposure to forecasting or predictive modeling
- Experience working with revenue or financial data
Why Join Us
- Real Impact: Your work directly influences revenue and business decisions
- Ownership: You will own models and see them evolve over time
- Growth: Work closely with BI leadership and develop advanced analytical skills
- Learning Environment: We invest in developing talent and promoting from within
- Purpose-Driven Work: We help protect families and support financial security
*Failure to pass an internet speed test will suspend the employment onboarding process, as all employees are required to have a secure and reliable internet connection*
Salary : $70,000 - $80,000