jpmorgan-chase-%26-co. - Metro Manila, National Capital Region, Philippines | 2024-07-31 12:26:51

As a Senior Data Scientist Manager in our Home Lending team, you will have the opportunity to develop innovative approaches and processes to achieve our goals. We value strong communication skills and the ability to collaborate effectively with key stakeholders across various functions and lines of business. We are looking for someone who has a deep understanding of data relationships and is ready to take ownership of data-promoten tasks. Join us and be a part of our exciting journey in advanced programming, research, and analytics.

Job Responsibilities:

• Works with a wide range of proprietary, industry-standard and open-source data stores and tools to assemble, organize and analyze data
• Converts data into actionable insights
• Utilizes data visualization tools to tell an effective story
• Leverages a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems
• Designs controlled experiments to test and validate hypotheses
• Understand and translate business needs into data models supporting long-term solutions

Required qualifications, capabilities and skills:

• Deep understanding of data structure and strong SQL skills 
• Experience using statistical programming languages (Python, R) to manipulate data and draw insights from large data sets
• Practical understanding of advanced statistics, A/B testing, machine learning, and data mining
• Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business
• Strong storytelling capabilities
• Aptitude for learning new theory and new technology
• Degree in Data Science, Applied Mathematics, Statistics, Engineering, Computer Science or similar STEM discipline

Preferred qualifications, capabilities and skills:

• Master’s Degree with 2+ years of advanced analytics experience
• Functional industry experience in finance, operations, sales, marketing, credit/risk, or technology
• Knowledge of the mortgage industry

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