[Hiring] Front Office Domain Expert – Trading & Market Surveillance @Behavox

Role Description

The Front Office Subject Matter Expert is an experienced individual contributor in the Subject Matter Expert (SME) team. The role is the primary owner of one or two related asset classes and makes sure that the Behavox Financial Data Model (BFDM) and the Unified Risk Taxonomy (URT) reflect how trading desks, venues and regulation actually work. The URT is the common language for risks across preventive controls (such as conflicts of interest and conduct) and detective controls (such as trade and communications surveillance).

• Defines asset class data specifications.
• Turns market abuse typologies into scenarios for Polaris, the Behavox trade surveillance product.
• Advises product, engineering and data science teams.
• Supports the revenue team in client meetings, demos and requests for proposal (RFPs) alongside a senior SME or the manager.
• Works with AI agents and agentic workflows, specifying requirements for agent-based pipelines and validating their outputs through structured data models and Git-based workflows.

This is a remote friendly opportunity.

Qualifications

• 5+ years of 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.
• English required; other languages a strong plus.
• Hands-on experience with agentic workflows is a plus.
• Open for a remote candidate within Italy.

Requirements

• Practitioner-level knowledge of at least one of: commodities and environmental products; digital assets and event contracts; fixed income and structured products; equities and funds; foreign exchange and money markets.
• Understanding of how execution, sales, research and risk functions operate on a trading desk, including order handling, quoting and hedging.
• Knowledge of market abuse typologies such as insider dealing, spoofing and layering, wash trading, front running and benchmark manipulation.
• Working knowledge of trading conduct rules, such as the EU Market Abuse Regulation (MAR), the Markets in Financial Instruments Directive (MiFID II), and US rules of the Commodity Futures Trading Commission (CFTC) and the Securities and Exchange Commission (SEC).
• Understanding of trade, order, market and reference data, their quality issues, and modelling concepts such as entities, schemas, validation rules and versioning.

What You'll Do

• 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 their 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.

Benefits

• A truly global mission with a passionate community in locations all over the world.
• Huge impact and learning potential as our aspirations require bold innovation.
• Highly competitive compensation with 100% bonus pay already integrated.
• Benefits include individual career development budget for your learning and growth.
• Generous time-off policy and flexible work schedule.

About Our Process

We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.

• Exploring core factors regarding salary and location along with core experience and skills and values alignment.
• Deep dive exploration of critical technical competencies identified for the role.
• Deep dive in behavioral competencies.
• Most aligned candidates will be asked to do a practical work task simulation activity.
• Final meetings with a number of senior leaders to ensure informed decision-making.