Provide expert rates‑trading feedback to train AI models for a top investment bank’s algorithmic desk.
What you would do
• Assess AI‑driven trading ideas for swaps, swaptions, futures, SOFR/Euribor and repos
• Score the plausibility of model outputs against live market dynamics
• Write concise commentary on strategy strengths and weaknesses
• Highlight scenarios where AI deviates from real‑world desk behavior
• Recommend concrete improvements to the AI’s decision engine
Who they want
• Current or former rates trader at a bank or hedge fund
• Hands‑on experience with interest‑rate swaps, swaptions, Treasury futures, repo and SOFR/Euribor
• Track record in systematic or algorithmic rates trading at senior level
• Robust written and verbal articulation of complex trading concepts
• Self‑discipline for remote, milestone‑driven work
“A model suggests a 10‑bp widening on a 5‑year swap curve after a Fed announcement; how would you verify whether that move is realistic given recent market liquidity?”
Why they ask
The interviewer wants to see if you can detect pricing anomalies that would cause a model to lose money in live markets.
• Repo trade risk assessment
“The AI recommends entering a 30‑day repo at a 0.5% spread; what risk factors would you examine before approving the trade?”
Why they ask
They need to confirm you can spot hidden funding risks that AI might overlook.
• Swaptions strategy evaluation
“When the model proposes a 2‑year payer swaption with a 25‑bp vol bump, how would you test its consistency with current vol term structures?”
Why they ask
Understanding the nuances of volatility surfaces is critical for judging AI‑generated option structures.
• Communication of feedback
“Describe how you would structure a written report that highlights three major flaws in the AI’s Treasury futures str
📌 Rates trader (India)
🏢 Training Turk
📍 India
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