Front Office SME - AI-Driven Market Data (Remote)

Behavox

Roma

Remote

EUR 90,000 - 130,000

Full time

2 hours ago
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Benefits offered by this job

100% remote-friendly position
Career development budget
Generous time-off policy
Competitive compensation with bonus

Job summary

Behavox is seeking a Front Office Subject Matter Expert to own asset classes, define data specifications and validate models used in trading surveillance and risk management. You will collaborate with product, engineering and data science teams in a remote-friendly setting within Italy to ensure URT and BFDM reflect actual markets.

The role emphasizes translating market abuse typologies into risk scenarios, supporting client engagements, and contributing to agent-based pipelines with clear data

Qualifications

  • 5+ years in front office, market surveillance, or related data roles.
  • English required; other languages a plus.
  • Experience with agentic workflows is a plus.
  • Location open for remote candidates within Italy.

Responsibilities

  • Define BFDM fields and validation rules for owned asset classes.
  • Turn market abuse typologies into Polaris risk scenarios and validate outputs.
  • Maintain URT mappings to regulatory requirements and keep coverage current.
  • Support client meetings, demos and RFPs with SME-reviewed collateral.
  • Specify agent-based pipelines and contribute changes via GitLab workflows.

Skills

Front office data
Market surveillance
URT/BFDM knowledge
Regulatory knowledge
English proficiency
GitLab workflows

Tools

GitLab

Job description

Behavox is seeking a Front Office Subject Matter Expert to own asset classes, define data specifications and validate models used in trading surveillance and risk management. You will collaborate with product, engineering and data science teams in a remote-friendly setting within Italy to ensure URT and BFDM reflect actual markets.

The role emphasizes translating market abuse typologies into risk scenarios, supporting client engagements, and contributing to agent-based pipelines with clear data

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