Business Analyst

10+ years of experience

We are seeking an experienced AI/ML Business Analyst to join our team and contribute to the successful integration of Artificial Intelligence and Machine Learning solutions within our organization. In this role, you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to define and implement AI/ML strategies that drive innovation and improve business performance. A strong understanding of AI/ML frameworks such as PyTorch, TensorFlow, and proficiency in Python is required. Experience with generative AI (genAI) and knowledge of banking operations will be an added advantage.

Key Responsibilities:

• Requirements Gathering:
• Collaborate with business stakeholders to identify and document AI/ML use cases, ensuring a clear understanding of business goals and objectives. Translate business needs into technical requirements and assist in prioritizing features for AI/ML models.
• Data Analysis & Preparation:
• Work with data scientists and engineers to analyze and preprocess data for machine learning models. Ensure the quality and relevance of data sources and help with feature engineering to enhance model performance.
• AI/ML Strategy & Implementation:
• Assist in the development and implementation of AI/ML strategies. Provide insights into how machine learning solutions can be applied to solve business problems across different banking processes (such as fraud detection, credit scoring, customer segmentation, etc.).
• Model Evaluation & Optimization:
• Help evaluate the performance of AI/ML models, providing input on the design and optimization of models using frameworks like PyTorch, TensorFlow, and other industry-standard tools. Assist in identifying areas for model improvement and tuning.
• Collaboration with Technical Teams:
• Work closely with data scientists, engineers, and other technical teams to ensure alignment of AI/ML solutions with business objectives. Provide the necessary context and insights to ensure the successful deployment and integration of AI models into existing business processes.
• Market & Trend Analysis:
• Stay updated on the latest developments in AI/ML technologies, specifically in the banking sector, and propose innovative solutions that enhance business performance and customer experience.
• Documentation & Reporting:
• Prepare clear documentation and reports for stakeholders, summarizing key findings, model performance, and recommendations for future improvements. Ensure that project milestones, timelines, and deliverables are tracked and met.
• Risk Management & Compliance:
• Ensure that AI/ML solutions adhere to industry standards and regulatory requirements, especially within the banking domain. Identify potential risks and ensure that models are fair, explainable, and transparent.

Required Skills & Qualifications:

• Educational Background:
• Bachelor's or Master’s degree in Computer Science, Data Science, Business Analytics, Engineering, or a related field.
• Experience:
• Minimum of 10+ years of experience
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Keras.
• Proficiency in Python for data analysis and machine learning model development.
• Familiarity with Generative AI (genAI) technologies and applications.
• Experience working with banking or financial data and understanding core banking processes and systems.
• Technical Skills:
• Strong understanding of machine learning algorithms and model evaluation techniques.
• Experience in data preprocessing, feature engineering, and data wrangling.
• Knowledge of AI/ML model lifecycle, from development to deployment and monitoring.
• Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML solutions deployment is a plus.