JPMorgan Data Scientist Lead Vice President 

Philippines, Quezon City 

489765284

Role

• Manages effective engagement in initiatives which require the development and deployment of advanced analytical solutions;
• Is hands-on in conducting analytics and modeling with use of various tools such as R, Python, Tableau, Alteryx, SQL
• Accountable for business impact and robustness of solutions delivered including: analyses, procedures, models, test designs
• Acts as a primary contact with senior managers in several business functional areas
• Probes for unidentified business needs and explores opportunities for team to develop appropriate, data-based approaches to those needs
• Manages/Mentors other analysts and is a thought-leader in data science across the organization
• Follows industry trends and tests new tools and techniques to solve new/existing business challenge

Responsibilities

• Runs workstreams, owns initiative end-to-end, manages stakeholder requirements and work in matrix environment
• Prioritizes and manages in a way that uses resources effectively, communicates findings, issues and proposed solutions to business executives
• Able to engage diverse groups of colleagues and clients
• Stays abreast of trends and best practices and factors into approach
• Identifies process improvements and efficiency enhancements
• Appreciation for operational complexities and how they may translate into risk on a given project.
• Strong problem-solving leader, who can coach and facilitate others to solve problems
• Is viewed as a confident and trusted advisor by clients
• Produces clear and succinct written and verbal communications and knows how to think through and frame messages for different audiences
• Uses knowledge of current industry development to recommend enhancements to client service

Minimum Requirements

• Generally 6+ years of experience in data science or other related fields
• Bachelor's degree in a quantitative or related field
• Masters or PhD in a related field, or Bachelors with 5+ years' experience in a related discipline
• Intermediate knowledge of AI/ML packages, statistical tools including Python, SQL and R
• Knowledge of Data Mining & Visualization and tools like SQL, Tableau, Alteryx
• Subject Matter Expert in statistical techniques, predictive modeling, time series forecasting, text mining
• Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
• Ability to transform information derived from data into actionable insights which directly relate to the organizations key strategic objectives
• External client exposure / skills
• Strong story telling capabilities