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Behavox

AI-powered enterprise compliance and risk SaaS

Trade Surveillance Specialist - Commodities & Crypto

Regulatory Compliance & EthicsPosted on Nov 13
Full-timeItaly

About the Job

Requirements

  • Have 5 or more 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.
  • Have practitioner-level knowledge of at least one asset-class market, including its instruments, venues, trading conventions, and pricing.
  • Understand front-office workflows, including how execution, sales, research, and risk functions operate on a trading desk, including order handling, quoting, and hedging.
  • Know market-abuse behaviors such as insider dealing, spoofing and layering, wash trading, front running, and benchmark manipulation, and how they appear in trade, order, and market data.
  • Have working knowledge of trading-conduct rules, including the EU Market Abuse Regulation, Markets in Financial Instruments Directive II, and US Commodity Futures Trading Commission and Securities and Exchange Commission rules.
  • Understand trade, order, market, and reference data, data-quality issues, and modelling concepts such as entities, schemas, validation rules, and versioning.
  • Have English language proficiency.
  • Be located within Italy for remote work.

Responsibilities

  • Own one or two related asset classes and ensure the Behavox Financial Data Model and Unified Risk Taxonomy reflect trading-desk, venue, and regulatory practices.
  • Define asset-class data specifications and translate market-abuse typologies into Polaris trade-surveillance scenarios.
  • Advise product, engineering, and data-science teams.
  • Support the revenue team in client meetings, demos, and requests for proposal alongside a senior subject matter expert or manager; do not independently lead engagements with high-profile prospects or regulators.
  • Specify requirements for agent-based pipelines and validate their outputs using structured data models and Git-based workflows.
  • Define Behavox Financial Data Model fields, schemas, and validation rules for owned asset classes, and check data outputs against them.
  • Anchor surveillance scenarios to regulatory enforcement cases and validate scenario outputs with engineering and data science.
  • Map owned asset classes to Unified Risk Taxonomy risk situations and regulatory requirements, and keep coverage current.
  • Answer front-office, data, and surveillance questions in client meetings, demos, 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

  • Hands-on experience with agentic workflows.
  • Knowledge of additional languages beyond English.
  • Knowledge of one or more of commodities and environmental products; digital assets and event contracts; fixed income and structured products; equities and funds; or foreign exchange and money markets.

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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