Job Description:
Data Analyst / Modeler
Role Overview:
This position targets a Data Analyst/ Modeler with a strong foundation in large-scale data processing. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services product.
Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling.
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Experience Requirements:
Requirement Details
Total Experience 5+ years in Data Analysis
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Core Technical Skills:
Programming Languages
• Python
Data Formats
• XML, JSON, Parquet, Avro, Protobuf – Familiarity with multiple serialization/storage formats
Data & Query
• SQL – Strong query building, analysis, troubleshooting, and optimization skills
Business Knowledge
• Financial Instruments – Understanding of financial instruments especially Derivative products
• Data modeling – Understanding of data modeling for Journals and accounting will be a good skill
AI & Productivity Tools
• Ability to leverage AI tools (e.g., GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis
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Non-Technical / Soft Skills:
Performance Engineering Analysis, troubleshooting, and resolution of system performance issues
Multi-tasking Ability to work under pressure in a fast-paced environment
Learning Agility Proactive, enthusiastic, willing to learn and apply new concepts quickly
Problem Solving Demonstrated analytical and structured problem-solving skills
Adaptability Dynamic, flexible, high energy
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