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Team Lead, Reference Data Operations

Team Lead, Reference Data Operations

ICE
8-10 Years
Not Disclosed
  • Posted 13 hours ago
  • Be among the first 10 applicants

Job Description

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

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

Experience partnering with tech or AI initiative

Driving efficiency in the process

Proven people leadership

Coaching mentoring attrition management

Market data sourcing validation exchanges vendors

Data quality controls

Experience with corporate actions listings suspensions

Process improvement automation mindset

Equity Reference Data Knowledge

Audit regulatory readiness

About Company

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