Senior Reference Data Analyst
Location
Secunderabad | India
Job description
Job Description
Job Purpose The ICE Data Services Operations team offers technical expertise, customer service, and innovative tools to support global functions throughout the organisation. Reference Data Operations, Systems, Network, Trade Operations, Internal IT (Information Technology) Support, Information Security, Client Services, and Data Centres all enable our business to run smoothly, securely, and efficiently.
In Reference Data Operations (RDO), the primary purpose of this position is to research, analyse, interpret, transform, and present reference data for security and company level reference data for all global markets.
RDO is responsible for maintaining reference data for millions of securities and companies which is then incorporated into our clients' day-to-day workflows to make investments, clear and settle trades, manage portfolios, analyse risk, maintain security master files, create client statements, meet regulatory requirements and more.
Responsibilities As a member of the RDO team, you will play an integral role in ensuring that ICE provides our customers and the marketplace with highly accurate, timely and complete security and company level content sets that are best in class. As a Senior Reference Data Analyst, you will analyse a variety of complex legal and financial documents as well as communicate with and influence underwriters, issuers, corporate trust administrators and third-party vendors to procure reference data, resolve data discrepancies and gain an understanding of undefined terms. Demonstrating growing independent judgement and doing so within a fast-paced, dynamic environment, you will
- Make sound, subjective decisions when interpreting legal and financial information by utilising subject matter expertise to infer, deduce and draw the correct conclusions.
- Apply problem-solving skills to identify innovative work-flow efficiencies and process improvements resulting in increased accuracy levels, time to market and productivity.
- Identify trends and causation of inaccurate and/or incomplete data, staying current with regulatory intiatives, new financing techniques used by the marketplace and organisations that impact coverage and completeness.
- Analyse reference data content to identify erroneous patterns and process improvements to increase accuracy, completeness, and timeliness.
- Participate in root cause analysis activities to identify systemic and/or process deficiencies and the development of effective solutions.
- Collaborate with other teams to implement best practices and to create requirement documentation for system enhancements.
- Demonstrate familiarity with reference data products to support client challenges and resolve data problems. Craft client facing responses to challenges.
- Assist in the planning and coordinating of work assignments for the team and across teams.
- Demonstrate willingness to assume responsibility and act autonomously within the wider team.
- Conduct refresher training for individuals on the team when needed and provide subject matter expertise on a wide array of content. Mentor junior team members.
- Develop SQL and Python queries with varying complexity levels to indentify erroneous data and to build quality/quality control reports. Create complex Excel and marco functions with varying complexity levels to organise, analyse, convert and create reference data.
Knowledge And Experience - Bachelor's degree or equivalent practical experience or (MBA Finance, PGDM Finance, M. Com or MFM degrees for India).
- Excellent attention to detail and high degree of demonstrated decision-making and problem-solving skills.
- Ability to distil substantial amounts of information into specific takeaways.
- Excellent written and oral communication skills with proven ability to craft client-ready correspondences.
- Ability to work in a fast paced, high pressure, fluid environment.
- Demonstrate an eagerness to learn and collaborate with team members.
- 3+ years direct experience.
Schedule This role offers work from home flexibility of up to 2 days per week.
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