As a member of our Software Engineering Group, we look first and foremost for people who are passionate around Data Analytics and solving business problems through Data, Machine Learning, Innovation and engineering practices. You’ll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

Description of Role:
* 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

* Participates in the development of goals and execution of strategies within a function or department
* Leads/ coordinates aligned or directly managed resources
* Responsible for decisions and recommendations that are guided by analytics that generally will have limited impact on company revenues/assets
* In an individual contributor role, functions as a lead contributor with advanced knowledge of area of specialization and significant exposure to broad department activities

Required Domain / Technical Expertise & Experience:

Minimum requirements
* Generally 3+ years of related experience
* Bachelor’s degree in a quantitative or related field
* Post graduate study in a related field with 2+ years advanced analytics experience in large data environment
* 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
* Domain Expertise
* Software Engineering
* ML Techniques
* 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
* Intermediate knowledge of Machine Learning
* Strong story telling capabilities

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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

Tagged as: asdc


Job Overview
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