Applied AIML Data Scientist - Associate

JPMorgan Chase & Co. • Jersey City, NJ

21h

About The Position

The Risk Management & Compliance Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk.As an Applied AI ML Senior Associate on the team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
You will work with the firm’s rich data pool from both internal and external sources using Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.

Requirements

• Advanced degree (MS) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, and Econometrics)
• Practical expertise with ML projects, both supervised and unsupervised.
• Proficient programming skills with Python, R, or other equivalent languages,
• Demonstrated experience working with large and complicated datasets.
• Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost.
• Excellent problem solving, communication (verbal and written), and teamwork skills

Nice To Haves

• Experience with graph analytics and neural network (Tensorflow, Keras).
• Experience working with engineering teams to operationalize machine learning models.
• Familiarity with the financial services industry.

Responsibilities

• Proactively develop understanding of key business problems and processes
• Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
• Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
• Collaborate with other data scientists and machine learning engineers to deployment machine learning solutions.
• Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level