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  1. Personas
  2. Global Markets
  3. Product Specialist
  4. Alternative Execution Services
  5. Algorithmic Trading

Persona

Algorithmic Trading.

Delivers and sells trading algorithms that time orders to reduce market impact and execution costs

SeniorSoftware spend $95,000 / seat / yr

What this role actually does

Responsibilities and pain points, sourced from the production graph.

Key responsibilities

  • Own the algo product menu, including VWAP, TWAP, participation, liquidity-seeking and implementation-shortfall strategies.
  • Analyze order-event, tick and fill data to explain slippage, market impact, venue selection and benchmark performance.
  • Translate client trading objectives into algo selection, urgency settings, participation limits and risk-control parameters.
  • Partner with quant research and engineering to tune strategy logic, release changes and monitor production behavior.
  • Build client-ready TCA materials that compare algo performance by benchmark, venue, order size and market condition.
  • Investigate algo incidents, outlier fills, excessive rejects and unexpected routing outcomes with traders and support teams.

Software pain points

  • Client onboarding still depends on manual FIX spec comparison, email approvals and repeated regression tests
  • TCA differs between broker, EMS and internal data sources
  • Market-access limit rationale is hard to reconstruct during audits
  • Venue incidents require switching between EMS, log search, chat, ticketing and market-data screens
  • Sales teams lack client-ready proof for why one algo or route outperformed another
  • Entitlements drift across client hierarchy, OMS, EMS and broker systems

Workflow

A day in the workflow.

Starts before the local market open by checking overnight incidents, venue notices, client order-flow anomalies and FIX session health. Mid-morning work moves into live-flow support: trader questions, order rejects, algo behavior, entitlement changes and market-access limit exceptions. Afternoons are split between client calls, TCA reviews, onboarding tickets, certification testing and roadmap discussions with trading technology. End of day is evidence-heavy: reconcile order events, prepare execution-quality commentary, document control changes and queue defects for EMS, OMS, connectivity or surveillance teams.

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