Data Scientist Senior Manager

at  JPMorgan Chase Co

JOB DESCRIPTION

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in a team to partner with the Business to provide a comprehensive view of Data Analytics.
As a Data Scientist Sr. Manager within our Data Analytics & Reporting Team, you will support advanced analytics using a variety of modeling methods, algorithms, and techniques. You will play a key role in the development of our goals and strategies, leading and coordinating resources to ensure success. This role provides an opportunity to apply your skills in predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling, making a significant impact on our function or department.

REQUIRED QUALIFICATIONS, CAPABILITIES AND SKILLS

• Generally 3+ years of related experience
• Bachelor’s degree in a quantitative or related field
• Intermediate knowledge of statistical software packages and message based data tools, including SAS, Python, SQL and R
• Basic knowledge of practical use of Advanced Statistics
• Knowledge of Data Mining & Visualization. Strong story telling capabilities
• Domain Expertise. Software Engineering
• ML Techniques. Intermediate knowledge of Machine Learning
• Theory / Research
• Adept at navigating relational databases
• Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, text mining
• Comfortable explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise

PREFERRED QUALIFICATIONS, CAPABILITIES AND SKILLS

• Post graduate study in a related field with 2+ years advanced analytics experience in large data environment

ABOUT US

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

• Converts data to actionable insights, and leverages data visualization tools to effectively tell a story
• Develops advanced analytics using a limited assortment of modeling methods, algorithms and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling
• Uses data analysis techniques to develop insights that lead to new recommendations presented to management
• Leverages a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex, unstructured business problems
• Develops statistical models and designs controlled experiments to test ideas and validate hypotheses
• Researches, develops and implements new methods of measuring and analyzing data sets and processes
• Works with a wide range of proprietary, industry-standard and open-source data stores and tools to assemble, organize and analyze data
• Is responsible for decisions and recommendations that are guided by analytics that generally will have limited impact on company revenues/assets.
• Functions as a lead contributor with advanced knowledge of area of specialization and significant exposure to broad department activities