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Behavox

AI-powered enterprise compliance and risk SaaS

Trade & Commodities Trading Domain Expert

Finance & BankingPosted on Nov 13
Full-timeRemote in ItalyNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on experience in a front-office role, market surveillance, or front-office data at an exchange, trading venue, market data provider, or trading technology vendor.
  • Practitioner-level knowledge of at least one asset class: commodities and environmental products; digital assets and event contracts; fixed income and structured products; equities and funds; or foreign exchange and money markets, including instruments, venues, trading conventions, and pricing.
  • Understanding of front-office execution, sales, research, and risk workflows on a trading desk, including order handling, quoting, and hedging.
  • Knowledge of market abuse behaviors such as insider dealing, spoofing and layering, wash trading, front running, and benchmark manipulation, and how these appear in trade, order, and market data.
  • Working knowledge of trading conduct regulations, including 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 Securities and Exchange Commission (SEC).
  • Understanding of trade, order, market, and reference data, their quality issues, and structured data modelling concepts such as entities, schemas, validation rules, and versioning.
  • English proficiency.
  • The role is open to remote candidates located within Italy.

Responsibilities

  • Own one or two related asset classes and ensure the Behavox Financial Data Model (BFDM) and Unified Risk Taxonomy (URT) reflect trading desk, venue, and regulatory practice.
  • Define data specifications for owned asset classes and translate market abuse typologies into scenarios for the Polaris trade surveillance product.
  • Advise product, engineering, and data science teams.
  • Support the revenue team in client meetings, demonstrations, and requests for proposal alongside a senior subject matter expert or manager; do not independently lead engagements with high-profile prospects or regulators.
  • Define BFDM fields, schemas, and validation rules for owned asset classes, and check data outputs against them.
  • Convert market abuse typologies into Polaris risk scenarios, anchor them to regulatory enforcement cases, and validate outputs with engineering and data science.
  • Map owned asset classes to URT risk situations and regulatory requirements, and keep coverage current.
  • Answer front-office, data, and surveillance questions in client meetings, demonstrations, and requests for proposal alongside the revenue team, and produce subject-matter-expert-reviewed collateral.
  • Write specifications for agent-based pipelines, review and validate their outputs, and contribute changes through Git-based workflows in GitLab.

Desired Qualifications

  • Knowledge of languages other than English.
  • Hands-on experience with agentic workflows.

About the Company

Behavox

AI-powered enterprise compliance and risk SaaS

Behavox provides AI-powered compliance and conduct risk management for large enterprises through a SaaS platform. Its core product, Behavox Quantum, analyzes enterprise data and communications to identify potential regulatory and conduct issues and to archive records, all delivered as a scalable, secure cloud service on AWS. The solution works by applying artificial intelligence to massive volumes of data and communications to detect patterns and flag risks, with subscriptions covering access to the platform and optional services like implementation and support. Behavox differentiates itself by offering end-to-end coverage for compliance, conduct, and archiving at scale for global clients, backed by a strong security posture and a history of delivering large, complex deployments. The company's goal is to help enterprises manage compliance and conduct risk across their data and communications worldwide while reducing total cost of ownership through a unified, intelligent platform.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$424.9M
Headquarters
London, United Kingdom
Founded
2014

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