Quantitative Analyst-PolicyBind

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 (raw_vendor_
• → 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

Qualifications

We move fast, expect excellence, and don't coddle mediocrity.  If you need constant direction or hand-holding—this isn't your fight.

If you get energized by complex challenges and want to be measured by results—let's talk .

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