ML Engineer / Data Scientist
Vsg Business Solutions
Charlotte, NC, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Amazon S3
Data Analysis
Application Integration Architecture
Cloud Computing
Data Integration
Database Queries
Python (Programming Language)
SQL Databases
Build Management
Job description
Ropes test required Vanguard ML/OPS / Data Scientist. Top 5 priorities: * Investment Securities / Personal Wealth MUST HAVE
- Transaction & Cash Flow Analysis buy/sell, fund movement, transaction patterns
- SQL / Python strong data analysis skills
- AWS Bedrock, Glue, S3
- AI / GenAI using AI for data consolidation and transaction analysis
1 filter: Investment/Wealth domain experience.
Focus on investments and Personal Wealth. This role will lead initiatives to analyze standard transactions (buy/sell) and track transaction patterns and cash flow metrics over time to predict incoming and outgoing fund movement. Key Responsibilities & Focus Areas
- Transaction Stitching Application: Design and build a comprehensive transaction stitching application to map and monitor the journey of funds within a client’s account across their lifetime.
- Data Exploration & Insights: Perform data exploration to extract actionable insights and identify cash flow trends.
- AI Integration: Leverage AI tools to consolidate data, evaluate outputs, and analyze transaction activity.
Requirements
- Domain Knowledge: Strong background in Financial Investment Securities and Personal Wealth.
- Data Querying & Analysis: Expertise in SQL and/or
- Python for querying and data analysis, with a stronger emphasis on analysis than core engineering.
- Cloud & AI Technologies: Hands-on experience with AWS services (including Bedrock, Glue, and S3).
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