Product Architect - Data Scientist - Finance

Key Responsibilities:

Business Analysis: Collaborate with stakeholders to identify AI/ML opportunities for process optimization and decision-making.

Data Exploration: Analyze data, uncover trends, and support feature engineering for AI models.

AI/ML Evaluation: Assess model feasibility, performance, and business impact.

Requirements & Testing: Document AI/ML project requirements, validate model accuracy, and troubleshoot issues.

Model Deployment & Monitoring: Support production deployment and performance tracking.

Collaboration: Work cross-functionally with Data Scientists, Engineers, and Finance teams.

Research & Learning: Stay updated on AI/ML advancements and industry applications.

Who You Are

Technical Skills: Proficiency in Python, SQL, and machine learning frameworks. Strong understanding of AI algorithms, data analysis, and statistical methods.

Business Acumen: Ability to translate technical insights into actionable business strategies.

Attention to Detail: Ensure data quality, model accuracy, and impactful insights.

Minimum Qualifications:

Education: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Experience: 2+ years in machine learning, data analysis, or AI solutions.

Preferred Skills:

Experience with data visualization tools (Tableau, Power BI), cloud platforms (AWS, GCP, Azure), and AI deployment tools (Docker, Kubernetes, MLflow).

Financial industry knowledge and experience working in Agile environments.