MD Finance

Data Analyst

• Collecting and processing data from the system and related sources.
• Analyzing trends in key metrics: number of calls, connection rates, successful deals, and conversions — broken down by day, shift, and employee.
• Developing clear and simple dashboards (SQL, Power BI, Tableau).
• Identifying bottlenecks and preparing analytical recommendations to improve team efficiency.
• Preparing weekly and monthly performance reviews for management.

Machine Learning Engineer

• Spearhead the end-to-end development, deployment, and stewardship of machine-learning solutions
• Collaborate with Risk, Product, Operational and other teams
• Translate business goals into robust models
• Ensure ongoing performance of models
• Identify new AI/ML opportunities that raise the company’s bottom line
• Design, train, and deploy probability of default models
• Build credit-limit strategies
• Discover and scope AI/ML opportunities that boost efficiency and revenue
• Produce and update internal model documentation
• Implement model monitoring
• Plan and execute A/B tests
• Build Computer Vision pipelines
• Develop LLM-based solutions to enhance customer experience

Data Analyst

Senior ML Engineer