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Team Lead, Reference Data Operations

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Onsite

Team Lead, Reference Data Operations

ICE Data Services

Team Lead, Reference Data Operations

Skills

AIProcess ImprovementCompliance

14 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

7 October 2026

What they need


Job Purpose

We are looking for a qualified team leader to manage our team and provide effective guidance. Team Leader will be responsible for supervising, managing and motivating team members on a daily basis.

As a team leader, you will be the contact point for all team members and an effective communication would be a key skill set. You should also be able to act proactively to ensure smooth team operations and effective collaboration with teams located globally. You should lead by setting a good example and engage the team to achieve goals.

Responsibilities

  • Team Lead is accountable for end‑to‑end reference data delivery, ensuring accuracy, completeness, and timeliness across Equity asset class.
  • Oversee creation, validation, and maintenance of reference data (instrument static data, exchange details, identifiers, classifications) across internal platforms
  • Ensure high‑quality data delivery to downstream consumers such as pricing, index operations, and other reporting systems
  • Manage SLA adherence and data readiness for market openings, IPOs, corporate actions, and index changes
  • Lead, coach, and develop a team of enthusiastic analysts and build a cohesive unit.
  • Allocate work, monitor productivity, and balance volumes across BAU and event‑driven workloads.
  • Conduct performance reviews, goal setting, training, and succession planning.
  • Foster a strong quality, control, and ownership mindset within the team.
  • Ensure compliance with internal policies, audit requirements, and regulatory standards.
  • Review root cause analysis (RCA) for data incidents and ensure corrective actions are implemented and tracked.
  • Serve as point of contact for all the stakeholders like product team, Business Analysis team, Client support team and others.
  • Identify opportunities to streamline, standardize, and automate reference data workflows
  • Partner with technology teams to define functional requirements, UAT scenarios, and post‑implementation validation.
  • Drive reduction in manual touchpoints, error rates, and processing times.
  • Support strategic initiatives like coverage expansions, adding new data items etc.

Knowledge and Experience

  • Bachelor’s degree in one of the following:
    • Finance
    • Business Administration
    • Economics
    • Accounting
    • Statistics / Engineering (acceptable with strong markets experience)
  • Post‑graduate qualifications (preferred, not mandatory)
    • MBA (useful for senior or regional team lead roles)
    • Master’s in Finance / Financial Engineering
  • 8+ years experience in:
    • Equity Operations
    • Reference / Instrument Data
    • Securities Services
    • Trade lifecycle or post‑trade operations
  • 2+ years in a people‑management or lead role:
    • Managing analysts / associates
    • Handling escalations, performance reviews, and coaching
  • Strong exposure to:
    • Equity instruments (cash equities, ETFs, ADRs)
    • Corporate actions impact on static data
    • Market identifiers (ISIN, SEDOL, CUSIP, Ticker)
  • Core Functional & Technical Skills:
    • Equity & Reference Data Knowledge
    • End‑to‑end instrument data lifecycle
    • Market data sourcing & validation (exchanges, vendors)
    • Experience with corporate actions, listings, suspensions
  • Controls & Risk Mindset:
    • Operational risk
    • Data quality controls
    • Audit & regulatory readiness
  • Proven people leadership:
    • Coaching, mentoring, attrition management
    • Handling multi‑cultural teams (often Singapore + offshore)
  • Stakeholder management:
    • Product Team, Client Services team, Challenge resolution team, vendors
    • Clear communication with global counterparts
  • Process improvement & automation mindset:
    • Driving efficiency in the process
    • Experience partnering with tech or AI initiative

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