Front Office Data & Risk SME

Behavox; Milano; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

100% bonus

Flexible work schedule

Career development budget

Résumé du poste

Behavox is seeking a front office subject matter expert (SME) who will own one or two asset classes and ensure that the Behavox Financial Data Model (BFDM) and the Unified Risk Taxonomy (URT) reflect trading desks, venues and regulations.

You will translate market-abuse typologies into risk scenarios, maintain the taxonomy, map assets to URT risk situations and support client meetings with the revenue team, providing front‑office data expertise.

Qualifications

• Practitioner-level knowledge of at least one asset class (commodities, digital assets, fixed income, equities, fx, etc.).
• Understanding of front-office workflows, order handling, quoting and hedging.
• Knowledge of market-abuse behaviours (insider dealing, spoofing, layering, wash-trading, front-running, benchmark manipulation).
• Familiarity with structured data modelling, schemas, validation rules and versioning.

Responsabilités

• Define bfdm fields, schemas and validation rules for owned asset classes and verify data outputs.
• Translate market-abuse typologies into risk scenarios linked to regulatory cases.
• Maintain the risk taxonomy, mapping asset classes to urt risk situations and regulatory requirements.
• Support client meetings, demos and rfps together with the revenue team, providing front‑office data expertise.
• Write clear specifications for agent‑based pipelines, review and validate their outputs, and contribute changes via gitlab.

Connaissances

Asset class knowledge

Front-office workflows

Market-abuse knowledge

Data modelling

Outils

GitLab

Description du poste

Behavox is seeking a front office subject matter expert (SME) who will own one or two asset classes and ensure that the Behavox Financial Data Model (BFDM) and the Unified Risk Taxonomy (URT) reflect trading desks, venues and regulations.

You will translate market-abuse typologies into risk scenarios, maintain the taxonomy, map assets to URT risk situations and support client meetings with the revenue team, providing front‑office data expertise.