Applied Machine Learning Manager

Key Skills

Aartificial intelligence, Apache Hadoop, Big Data Technology, Data Analysis, Data science techniques, Data Transformation, H2O, Keras software library, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, SciPy, SPARK Programming, SparkML, TensorFlow

Job Description

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries.

As a Trust & Safety employee within the Payments Organization, you will be involved in developing machine learning models and solutions in the business domains of Fraud Prevention (for both Card and ACH/ Wire channels), Sanctions, Onboarding Risk and other similar problems. You will experiment with various relevant AI & ML algorithms and techniques to build best in class solutions.

Job Responsibilities

• Lead a team of scientists focused on a business problem in the trust & Safety domain
• Collaborate with business, operations and other technology colleagues to understand company needs and devise technical solutions
• Develop the roadmap of projects while partnering with various stakeholders for product delivery
• Research and analyze data sets using a variety of statistical and machine learning techniques
• Develop solutions and work with partner teams to implement the solutions in production
• Communicate results and ideas to key decision makers
• Hiring and Developing of the team and provide mentoring and coaching

 Required Qualifications, Capabilities and Skills:

• MS in a ML/ Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence

• Advanced data mining and EDA (Exploratory Data Analysis) skills, understanding of various data structures and data transformation

• Knowledge and expertise in Graph ML like Label Propagation, GNN, GCN, Reinforcement Learning apart from understanding supervised & unsupervised learning

• . Expertise in ML in areas of supervised and unsupervised learning. Experience working with imbalanced data.

• . Strong ability to develop and debug in Python (must) and Java (would be a plus)

• 3+ years experience with machine learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)

• 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc

 Other experience and qualifications

• Ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals

• Ability to independently research and propose alternatives with some guidance as to problem relevance

• Experience with consumer finance products or domains like working capital, fraud prevention etc.

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 and perspectives that 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. (If you are a US or Canadian applicant with a disability and wish to request an accommodation to complete the application process, please contact us by calling the Accessibility Line (US and Canada Only) 1-866-777-4690 and indicate the specifics of the assistance needed.)