CASE STUDY - QUANT TALENT MAPPING FOR RECRUITMENT STRIKE
A consolidated, compliance-first quant talent dataset.
How a leading quant firm evaluated and adopted Zeki Data’s consolidated, compliance-first quant talent dataset—reducing manual mapping and replacing an incumbent.
Quant hiring runs on accuracy. This dataset made it decision‑grade.
A top-tier quantitative trading firm commissioned Quant Talent Mapping to consolidate critical signals (citations, Olympiads, Scholar links) in one place—without compromising compliance, data quality, or accuracy.
At a glance:
Client type – Global quantitative trading firm
Primary stakeholders – COO of Recruiting and Head of Quant Research Recruitment
Use case – Quant talent mapping across target companies
Engagement – Paid pilot on 12 companies (expanding toward 40)
Decision drivers – Compliance, accuracy, time-to-value
The Challenge
Their team had two expensive problems:
- Resource drain: mapping target companies manually consumes specialist time.
- Accuracy risk: quants demand precision; errors destroy trust and create compliance exposure.
They needed a dataset that was:
- Consolidated and citation-backed
- Reliable enough for high-stakes recruiting decisions
- Audit-friendly and accuracy-proven
What We Did
We delivered Quant Talent Mapping with:
- A consolidated view of quant-relevant signals (e.g., publications/citations, Olympiad indicators, research links).
- Clear sourcing and structured outputs built for internal workflows.
- Accuracy validation designed to satisfy a “prove it” culture.
Results
Stronger business case: reduced manual mapping time and duplicated effort.
Incumbent displacement: added intelligence layers made switching a “no-brainer.”
Accuracy proven: dataset validated at 98% accuracy through routine audits.
Path to scale: pilot across 12 companies with intent to expand to ~40.
Talent team takeaways
- Best for: quant research recruiting, talent intelligence, competitor mapping
- Key advantage: consolidated signals and audit-friendly accuracy
- Value: less manual mapping, fewer errors and faster hiring decisions