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; robust 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, robust 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 quick 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

📌 Data Analytics Specialist Bengaluru
🏢 Millenium Infotech
📍 Bengaluru