Data Analytics Specialist

Principal Responsibilities

• Candidate will perform data transformation tasks to clean, normalize, and structure data for analytics and controls. This may involve writing complex SQL queries, using Python
• libraries like pandas for data manipulation or implementing data transformation workflows in Alteryx. Additionally, it may involve integrating with databases, REST APIs, or other data sources, as well as ensuring data quality and integrity.
• Generating reports on trades, positions, and exposures for internal stakeholders, and regulatory requirements. This involves maintaining accuracy and timeliness in reporting.
• Automate any manual reporting processes through the development of SQL/Python solutions and/or Tableau Dashboards
• Navigate through various systems to identify the root cause of issues & work with the relevant stakeholders to implement robust solutions
• Build new controls to continuously improve the existing framework
• Coordinate and work closely with internal teams across Ops, IT, Legal, Compliance and Finance departments globally as necessary and with external parties to deliver projects, regulatory reports, and control frameworks
• Daily, weekly, and monthly reporting on metrics spanning the operational trade lifecycle including trade volumes, trade edits, matching, settlement, and positions/balances
  

Qualifications/Skills Require:

• Experience in financial services; strong knowledge of financial instruments,
• securities and derivatives
• Experience in performing data transformation/manipulation using Python libraries such
• as pandas and numpy
• Strong knowledge of SQL; experience in implementing business intelligence tools such
• as Alteryx, PowerShell, Tableau, & UIPath etc.
• Quick learner; understands financial products and has the ability to grasp new concepts
• and processes quickly
• Self-starter, solid organizational skills, ability to multitask effectively
• Excellent written and verbal communication skills, strong presentation skills (project
• plans, presentations, data mining, analysis)
• Detail-oriented; demonstrable thoroughness and strong ownership of work
• Strong interpersonal skills; ability to work collaboratively with wider teams internally as
• well as with external parties
• Able to prioritize in a fast moving, high pressure, constantly changing environment; High
• sense of urgency to meet tight deadlines
• Exposure to cloud data warehouses like AWS Redshift is a plus