Lead Applied Machine Learning Scientist

Palo Alto, CA, United States

JPMorgan Chase & Co.

View company page

Does working with real data and having an impact on the small businesses that are the backbone of the US economy excite you? Do you want to be a thought leader in the Payment space by stretching boundaries with innovative Fraud solutions ? 

As an Applied Machine Learning Scientist in Trust & Safety for the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and  hundreds of millions of card transactions.

J.P. Morgan Chase 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.

 

Job Responsibilities

  • Build machine learning systems and models for detecting payment fraud, merchant fraud, and merchant risk
  • Research and analyze large data sets using advanced exploratory techniques and communicate findings to key stakeholders
  • Drive and own the complete lifecycle from data extraction, model development through model deployment and production evaluation/maintenance
  • Design and Implement Knowledge graph capturing information from various 3rd party/partner data sources and relationships therein
  • Collaborate closely with Business, operations and Product teams to devise effective Risk and Fraud solutions.
  • Bring an AI/ML first thinking to our Fraud/Risk solutions and thus achieving operational excellence.
  • Design and Implement Knowledge graph capturing information from various 3rd party/partner data sources and relationships therein
  • Collaborate closely with Business, operations and Product teams to devise effective Risk and Fraud solutions.

 

Required Qualifications, Capabilities and Skills:

  • MS or Ph.D. in  Machine Learning, Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence
  • In-depth understanding of machine learning and modeling algorithms such as decision trees, random forest, neural networks, graph models
  • Technical expertise in data preprocessing, feature extraction, model building, and statistical analysis
  • Proficiency in databases (SQL), and programming languages (at least one of the following: Python or Java)
  • 3+ years experience with machine learning APIs and computational packages like XgBoost, Pandas, TensorFlow, Scikit-Learn, NumPy, SciPy
  • 5 + years of experience with big-data technologies such as Hadoop, Spark, Flink.

 

Preferred qualifications, capabilities, and skills

  • Past AI/ML experience in Payments is a big plus.

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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. Additional details about total compensation and benefits will be provided during the hiring process.

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.

JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Banking Computer Science Flink Fraud risk Hadoop Java Machine Learning Mathematics ML models Model deployment NumPy Pandas Physics Python Research Scikit-learn SciPy Spark SQL Statistics TensorFlow XGBoost

Perks/benefits: Career development Competitive pay Health care Wellness

Region: North America
Country: United States
Job stats:  0  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.