AI Ops Engineer – Reference
Il y a 2 jours
Fresnes, Ile-de-France
Hellebore Capital (Paris)
Temps plein
48 000 € Contrat
Gratuit avec email ou Google
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AI Ops Engineer, Reference & Market Data
Paris (up to 20% remote)
· Full-time
· €48k
· Reports to the Director General Hellebore Capital is a Paris-based credit investment firm. Our data operations are now AI-managed: agents extract bond and CDS quotes from dealer emails, identify securities, create reference data (FIGI, FIRDS, EDGAR, prospectuses) and run quality checks. Investment decisions stay with our portfolio managers. Everything else is automated, and you supervise it.
What you'll do
• Run and monitor the daily AI pipelines on our private OtcStreaming instance
• Review what the agents propose: they propose, you decide
• Investigate exceptions such as unresolved securities, suspect quotes and price/yield mismatches
• Fix the cause, not just the case, by adjusting prompts, rules, thresholds and settings (all versioned)
• Your KPI: fewer human reviews over time, at equal or better data quality Over time the role extends to quantitative trading: backtesting datasets, live model inputs, and automating the quant workflows. What you bring
• Master's-level (Bac+5) degree from an engineering school or a quantitative university programme. Recent graduates welcome.
• Comfort with Python and AI tools: you write prompts, direct coding agents, and read and fix what they produce
• Curiosity for bonds, CDS and credit markets. No prior finance experience is needed; we teach it in-house, with close mentoring.
• Fast and sound: quick, but never at the expense of correctness To apply: send a short note on an automation or data-quality process you have owned end-to-end.
· Full-time
· €48k
· Reports to the Director General Hellebore Capital is a Paris-based credit investment firm. Our data operations are now AI-managed: agents extract bond and CDS quotes from dealer emails, identify securities, create reference data (FIGI, FIRDS, EDGAR, prospectuses) and run quality checks. Investment decisions stay with our portfolio managers. Everything else is automated, and you supervise it.
What you'll do
• Run and monitor the daily AI pipelines on our private OtcStreaming instance
• Review what the agents propose: they propose, you decide
• Investigate exceptions such as unresolved securities, suspect quotes and price/yield mismatches
• Fix the cause, not just the case, by adjusting prompts, rules, thresholds and settings (all versioned)
• Your KPI: fewer human reviews over time, at equal or better data quality Over time the role extends to quantitative trading: backtesting datasets, live model inputs, and automating the quant workflows. What you bring
• Master's-level (Bac+5) degree from an engineering school or a quantitative university programme. Recent graduates welcome.
• Comfort with Python and AI tools: you write prompts, direct coding agents, and read and fix what they produce
• Curiosity for bonds, CDS and credit markets. No prior finance experience is needed; we teach it in-house, with close mentoring.
• Fast and sound: quick, but never at the expense of correctness To apply: send a short note on an automation or data-quality process you have owned end-to-end.