Quantitative Analyst-PolicyBind
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Job Location:
West Palm Beach, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
24-10-2025
Vacancies:
1 Vacancy
Job Summary
PolicyBind is looking for a Quantitative Analyst to sit at the center of our performance marketing operation. This person will ensure our bidding systems auction strategies and performance analytics are deeply data-driven and continuously optimized for efficiency and scale.
The role demands strong analytical rigor fluency in SQL and comfort working in fast-moving ambiguous environments. The right candidate will translate raw data into actionable insights that directly impact ROI across millions of marketing events per day.
Core Responsibilities
Auction Efficiency & Bid Optimization
Analyze auction performance data (clicks calls leads) to uncover inefficiencies margin leakage and scaling opportunities.
Develop and monitor quantitative models that guide bidding logic and budget allocation.
Partner with engineering and media teams to implement and refine automated bidding rules.
Performance Analytics
Own key metrics such as CPA GP per lead source hygiene conversion rate and payout efficiency.
Build Looker dashboards and SQL views to track media performance at every layer (vendor campaign client).
Provide rapid directional reads and performance alerts to decision-makers.
Data Infrastructure & Quality
Write and maintain queries against Postgres (and potentially Snowflake/dbt).
Validate data integrity across ingestion layers (rawvendor* L1 L2).
Collaborate with BI and engineering to harden data pipelines and reduce reporting latency.
Experimentation & Modeling
Design and measure tests to improve ROI (e.g. time-of-day bidding traffic mix adjustments disposition-based targeting).
Apply statistical and machine learning techniques to predict conversion or margin outcomes.
What Good Looks Like
Delivers fast accurate reads on campaign performance with minimal supervision.
Finds quantitative levers that drive measurable GP improvement.
Establishes trusted repeatable reporting pipelines.
Anticipates data issues or auction inefficiencies before they show up in financials.
Qualifications
Bachelors or Masters degree in a quantitative field (Math Economics Statistics Computer Science etc.)
35 years of experience in a data-driven marketing or marketplace environment
Advanced proficiency in SQL (Postgres preferred); strong data modeling and query optimization skills
Familiarity with Looker or similar BI platforms
Comfort working with large datasets experiment design and performance metrics
Bonus: experience with Python dbt or bid management platforms
The role demands strong analytical rigor fluency in SQL and comfort working in fast-moving ambiguous environments. The right candidate will translate raw data into actionable insights that directly impact ROI across millions of marketing events per day.
Core Responsibilities
Auction Efficiency & Bid Optimization
Analyze auction performance data (clicks calls leads) to uncover inefficiencies margin leakage and scaling opportunities.
Develop and monitor quantitative models that guide bidding logic and budget allocation.
Partner with engineering and media teams to implement and refine automated bidding rules.
Performance Analytics
Own key metrics such as CPA GP per lead source hygiene conversion rate and payout efficiency.
Build Looker dashboards and SQL views to track media performance at every layer (vendor campaign client).
Provide rapid directional reads and performance alerts to decision-makers.
Data Infrastructure & Quality
Write and maintain queries against Postgres (and potentially Snowflake/dbt).
Validate data integrity across ingestion layers (rawvendor* L1 L2).
Collaborate with BI and engineering to harden data pipelines and reduce reporting latency.
Experimentation & Modeling
Design and measure tests to improve ROI (e.g. time-of-day bidding traffic mix adjustments disposition-based targeting).
Apply statistical and machine learning techniques to predict conversion or margin outcomes.
What Good Looks Like
Delivers fast accurate reads on campaign performance with minimal supervision.
Finds quantitative levers that drive measurable GP improvement.
Establishes trusted repeatable reporting pipelines.
Anticipates data issues or auction inefficiencies before they show up in financials.
Qualifications
Bachelors or Masters degree in a quantitative field (Math Economics Statistics Computer Science etc.)
35 years of experience in a data-driven marketing or marketplace environment
Advanced proficiency in SQL (Postgres preferred); strong data modeling and query optimization skills
Familiarity with Looker or similar BI platforms
Comfort working with large datasets experiment design and performance metrics
Bonus: experience with Python dbt or bid management platforms
The PolicyBind Advantage
Why Winners Choose Us:
- Cutting-Edge Product: Our platform is years ahead of traditional insurance tech
- Market Timing: Insurance is finally ready for disruptionbe part of the revolution
- Uncapped Earning Potential: Performance bonuses that reflect your impact
- Direct CEO Access: Your ideas reach decision-makers not middle management
- Remote Freedom: Work from anywhere but deliver everywhere
What We Actually Offer:
- Excellent Base compensation
- Performance bonuses that can double your income
- Equity package (because were building something huge)
- Unlimited PTO (for adults who manage their own time)
- Latest tech setup delivered to your door
The Hard Truth
This role isnt for everyone. We move fast expect excellence and dont coddle mediocrity.
If you need constant direction or hand-holdingthis isnt your fight.
If you get energized by complex challenges and want to be measured by resultslets talk.
Required Experience:
Senior IC
Key Skills
- ArcGIS
- Intelligence Community Experience
- GIS
- Python
- Computer Networking
- Data Collection
- Intelligence Experience
- R
- Relational Databases
- Analysis Skills
- Data Management
- Application Development
