GenAI‑Driven Talent‑Risk Intelligence at Nasdaq

Nasdaq's attrition rate is low, yet every regretted loss of a senior quant or market‑tech engineer still hits earnings, product road‑maps and morale. Senior Director Nicole Lettich presents a live walk‑through of a privacy‑first, retrieval‑augmented GenAI pipeline that isolates the 9 % of employees whose departure would cost $450 k and months of momentum. She unpacks the critical‑talent matrix, data safeguards, prompting strategy and Teams‑bot narrative that drive 78 % open rates and $630 k cost avoidance. Attendees will leave with practical templates, guard‑rails and a step‑by‑step pilot plan they can deploy within 90 days.

• Re‑prioritising analytics using a critical‑talent matrix – six high‑impact pools.
• Privacy‑by‑design data blueprint: signals chosen, PII stripped, access tiers.
• Retrieval‑augmented GenAI architecture – Workday → Snowflake → pgvector → Azure OpenAI → Teams bot.
• Prompt engineering, bias control and red‑team audit results.
• Narrative report demo and adoption tactics – 78 % open rate, 22‑hour action time.
• Three interventions, $630 k cost avoided and lessons for 90‑day pilots.

• Identify and quantify talent‑risk where it truly impacts revenue and strategy.
• Apply a reusable critical‑talent segmentation template in your own organisation.
• Design and govern a privacy‑first, RAG‑powered GenAI pipeline with minimal hallucination.
• Measure adoption and ROI using open‑rate, action‑rate and cost‑avoidance metrics.
• Launch a controlled 90‑day pilot with a ready‑made playbook and checklist.

Nicole Lettich

Director, People Analytics and Insights · Nasdaq

Digital‑trading firms fight for scarce market‑tech engineers and quants; losing even one can delay product launches, erode revenue and expose compliance risks. With voluntary turnover at historic lows, legacy attrition dashboards create noise, not action. Boards now demand forward‑looking, role‑level risk intelligence and demonstrable savings before funding analytics programmes. Nasdaq faced this reality in 2024 as AI hiring tightened further.