Data Analyst

Posted: 1 week ago

Key qualifications are as follows:

1. Investment industry experience, i.e. basic understanding of equities, fixed income, derivatives.
2. Hands-on data management experience, with some or all of the following: SQL, VBA, Python, Advanced Excel
3. Understanding of ETL and data transformations
4. Self-starter who requires minimal supervision
5. Excellent English business communications, both verbal and written
6. Experience supporting business users, ideally in a financial industry setting

These are the core requirements, somebody who meets all of these will most likely be a very good fit –

The Data Analyst will perform ongoing liquidity assessment and related operational data tasks in support of SEC 22e-4 in conjunction with Portfolio Managers (PM's) and Risk Control (RC) teams.

The Bloomberg Liquidity Assessment (LQA) tool is a central piece of this operation. Routine operational procedures need to be facilitated, performed, and monitored on a daily basis.

Responsibilities include:

• Identify a selection of proxy securities for securities unsupported by LQA and send to PMs for review
• Review the PM liquidity override before it is updated in the Bloomberg output file and sent to downstream systems, reports and dashboards
• Adjust pre-set parameters defined by RC and send them to LQA for updates
• Request liquidation details of funds offered by Banking sub advisers and provide liquidity data to them
• As data steward, review exceptions reported on data quality dashboard and reach out to the appropriate individuals/teams for remediation
• Document and verify data procedures required to support this function, validating and socializing operating procedures with colleagues in US, EMEA, and APAC regions.
• Build run-book of all recurring tasks and associated controls
• Develop tools and scripts to facilitate routine data tasks, seeking to reduce manual involvement over time with scripting and automation
• Provide regular and ad hoc reports as required by the PM's, RC, and Knowledge Services functions, using Excel, PowerPoint, SQL, LQA, in-house analytics, and other tools
• Support the flow of information between risk systems and front office business users and risk team
• Ensuring data integrity of all Banking-supplied and third party data feeding LQA, analytics, and internal risk systems
• Identify and resolve potential business issues and risks before they arise, escalating issues in a timely manner when appropriate
• Involvement in data projects, providing reports and business analysis to support the implementation of new system flows
• Contributing to the maintenance of the knowledgebase of procedures to ensure high-levels of cross-training and standardization
• Applying knowledge of fixed income and equities markets along with understanding of fund management operations and practices
• Prioritizing time and self-directing within a fast-paced, dynamic environment
• Being an excellent team player, continually reviewing processes and communicating problems and recommendations with global counterparts

Requirements:

  • Capability to manage several projects in conjunction with day-to-day responsibilities
  • Excellent verbal and written communication skills
  • Working knowledge of equity and fixed income markets, with understanding of fund/asset management concepts
  • Self-starter with ability to work with minimal supervision
  • Excellent and demonstrable problem-solving skills
  • Undergraduate degree in Finance, Economics, Statistics, or Computer Science
  • Strong knowledge of Excel, VBA is a plus
  • Understanding of relational databases and intermediate SQL
  • Prior exposure to SEC asset management regulations is a plus
  • Python scripting is a plus