Data Scientist Associate Sr - Analytics and Reporting

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Data Scientist Associate Sr at JP Morgan Chase within the Asset and Wealth Management Technology, you will be part of our industry-leading data analytics team, and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making. The role will be in the firm’s Applied AI and Machine Learning organization and will involve working closely with financial advisors, investors, client service, and operations.

Job responsibilities

• Collaborate with business stakeholders to formulate relevant financial and business questions that can be answered by data analysis.
• Research and analyze data sets using a variety of statistical and machine learning techniques.
• Communicate final results and give context.
• Document approach and techniques used.
• Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.
• Collaborate with other J.P. Morgan machine learning teams.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Degree in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Engineering, Data Science, or similar BS with experience in a highly quantitative position.
• Hands-on experience analyzing data.
• Strong ability to develop and debug in Python or similar professional programming language.
• Problem solving and collaboration skills.
• Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems.
• Ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
• Independently research and propose alternatives with some guidance as to problem relevance.
• Undertake basic and advanced EDA, may require some direction from more senior team; should be aware of limitation and implication of methodology choices.

Beneficial Skills

• Some experience with machine learning APIs and computational packages (examples: TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
• Strong background in Mathematics and Statistics and knowledge of Financial Markets products
• Ability to develop and debug production-quality code and familiarity with continuous integration models and unit test development

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.