Job Role:
Role Purpose:
The Data Management Analyst will be responsible for managing, validating, and maintaining high-quality security, pricing, and index data across the firm's global Data Management platform. The role ensures data integrity, supports business operations, and contributes to process improvement and automation initiatives while interacting with multiple global stakeholders.
Key Responsibilities:
- Setup and maintain
security, index, and price data
on the global Data Management platform. - Perform
daily quality checks
on security master, index, and pricing data. Monitor and control data feeds
received from various external and internal sources. - Review
exception and missing price reports
, maintain manual pricing spreadsheets, and research appropriate prices for illiquid securities
. Manually input prices
for instruments from approved sources when required. Recalculate PE prices
following private equity events (e.g., drawdowns). - Monitor shared
team mailboxes
and ensure prompt resolution of stakeholder queries. - Assist the
Line Manager
in project-related activities and process improvement initiatives. - Participate in
testing system change requests
and new releases. - Maintain and monitor the team's
automated processes (“robots”)
used for data operations.
Required Skills & Qualifications:
- Strong proficiency in
Microsoft Excel
(formulas, macros, Power Query, VBA) and MS Office
(Word, PowerPoint). - Good written and verbal
communication skills
for interaction with global stakeholders. - Basic understanding of
securities data
(Equities, Fixed Income, Derivatives), pricing
, and index data
. - Excellent
analytical, numerical
, and problem-solving
skills. - High attention to detail with a focus on accuracy and quality.
- Ability to
prioritise tasks
, work independently, and meet deadlines under pressure.
Preferred Skills & Experience:
- Bachelor's degree in
Business, Finance, Accounting
, or related discipline. - Experience in a
data management
or financial operations
environment, preferably within asset management
. - Working knowledge of
SQL
for data extraction and validation. - Experience working on
data-intensive projects
or automation initiatives. - Familiarity with
OTC Derivatives
and related data structures is advantageous.
Key Competencies:
Data Management:
Strong understanding of data quality, governance, and validation processes. Communication:
Clear and concise verbal and written communication with stakeholders. Analytical Thinking:
Ability to interpret data and identify anomalies or process improvements. Collaboration:
Works effectively within a team-oriented, fast-paced environment. Adaptability:
Flexible and willing to adjust to changing business requirements.
Personal Attributes:
- Organised, proactive, and detail-oriented.
- Enthusiastic and committed to continuous improvement.
- Quality-focused with a delivery-driven mindset.
- Self-motivated, reliable, and capable of working under minimal supervision.
- Team player with a positive, solution-oriented approach.
Required SkillsData Management,Communication,Otc Derivatives