Remote Front Office Data & Surveillance SME

Behavox; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Global mission and high impact

100% bonus pay integrated

Career development budget

Generous time-off and flexible work

Job summary

Behavox is seeking a Front Office Subject Matter Expert to own asset class data specifications, develop Polaris risk scenarios, and maintain the mapping to URT and regulatory requirements. This role collaborates with product, engineering and data science teams while supporting client meetings and RFPs.

The position emphasizes AI-native, agentic workflows and structured data modeling, with remote-friendly work and broad global impact across trading desks, venues and regulators.

Qualifications

• 5+ years hands-on experience in a front office role, in market surveillance, or with front office data at an exchange, trading venue, market data provider or trading technology vendor.
• Languages: English required; other languages a strong plus.
• Agentic workflows: hands-on experience is a plus.
• Location: open for a remote candidate within Italy.

Responsibilities

• Defines BFDM fields, schemas and validation rules for owned asset classes and checks data outputs against them.
• Turns market abuse typologies into Polaris risk scenarios, anchors them to regulatory enforcement cases, and validates outputs with engineering and data science.
• Maps owned asset classes to URT risk situations and regulatory requirements, and keeps coverage current.
• Answers front office, data and surveillance questions in client meetings, demos and RFPs alongside the revenue team, and produces SME‑reviewed collateral.
• Writes clear specifications for agent-based pipelines, reviews and validates their outputs, and contributes changes through Git‑based workflows in GitLab.

Skills

Front office experience

Market surveillance

English proficiency

Agentic workflows

Remote work within Italy

Job description

Behavox is seeking a Front Office Subject Matter Expert to own asset class data specifications, develop Polaris risk scenarios, and maintain the mapping to URT and regulatory requirements. This role collaborates with product, engineering and data science teams while supporting client meetings and RFPs.

The position emphasizes AI-native, agentic workflows and structured data modeling, with remote-friendly work and broad global impact across trading desks, venues and regulators.