RESPONSIBILITIES

• Evaluate the effectiveness of proposed models and track business performance against the data analysis model.
• Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advanced analytics solutions across the firm including recommendation engines, customized data models, predictive machine learning models, graph modes, etc.
• Drive application of machine learning and big data techniques across different journeys and squads. § Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.
• Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.
• Review processes and tools designed to monitor and analyze model performance and data accuracy.
• Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
• Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.
• Manage multiple data products and resolve conflicts, challenges, and dynamic business requirements to keep operations running at high performance.
• Lead involved data science teams to propose solutions to BU, align KPIs, plan resources, resolve people problems and project roadblocks, keep the project on track, and conduct post-mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
• Identify and encourage areas for growth and improvement within the team. People Management
• Oversee human resources planning and execution (headcount & costs) of their function/ sub-function
• Attract, onboard, and retain the right talents for a high-performing team
• Establish and communicate sub-function/ function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
• Manage sub-function/ function performance & provide feedback regularly (following the annual performance management cycle)
• Define team’s capability requirements and enable team member’s professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
• Motivate and recognize team members’ contributions towards the team’s shared goals
• Responsible for developing talents within the function/sub-function
• Act as a role model and promote corporate culture at the function/ sub-function level
• Understand & communicate relevant HR offerings to team members.

REQUIREMENTS

• Master’s or PhD degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information
• Technology or any other Numerical disciplines.
• 12+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on large amounts of data, implementing and deploying various statistical models, and 4+ years of people management experience.
• English proficiency requirements are pursuant to bank policy
• Deep experience in querying databases and using programming languages (eg. Python, spark, TensorFlow, scala, SQL, C, C++, Java)
• Extensive experience in building data and analytics solutions, data mining, statistical model building, predictive modeling – Experience in the application of machine learning and AI to questions related to tech and finance industry
• Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale – Deep experience in Agile Software Development and mastery of Agile principles, practices, and Scrum methodologies
• Experience working in Agile teams to lead successful digital transformation projects, involved in the end-to-end planning to implementation