CCB Risk Program [Multiple Positions Available]
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Job Location:
Jersey, NJ - USA
Monthly Salary:
$ 175000 - 260000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
DESCRIPTION:
Duties: Design and develop machine learning models to drive impactful decisions for the card business throughout the customer lifecycle including acquisition account management transaction authorization and collection. Research develop document implement maintain and support tools and frameworks for AI/ML model explainability and fairness. Utilize cutting-edge machine learning approaches and construct sophisticated models including deep learning architectures on big data platforms. Collaborate with cross-functional teams such as Marketing Risk Technology and Model Governance to deliver innovative modeling solutions and ensure successful production deployment. Work closely with senior management to develop modeling solutions and effectively communicate model results and insights to senior leaders. Ensure compliance with internal and external model governance and regulatory requirements and design model explainability methods for risk estimation models. Utilize technical proficiency in SAS Python or equivalent programming languages for data analysis modeling tasks and the development of credit risk scorecards. Perform data cleaning feature engineering selection and hyper-parameter tuning for statistical and advanced machine learning techniques.
QUALIFICATIONS:
Minimum education and experience required: Masters degree in Data Science Mathematics Statistics Econometrics Computer Science Engineering or related field of study plus 3 years of experience in the job offered or as CCB Risk Program Associate Data Scientist Software Engineer or related occupation. The employer will alternatively accept a PhD in Data Science Mathematics Statistics Econometrics Computer Science Engineering or related field of study plus 1 year of experience in the job offered or as CCB Risk Program Associate Data Scientist Software Engineer or related occupation.
Skills Required: This position requires one (1) year of experience with the following: Designing implementing and managing machine learning pipelines on Spark Hadoop and HDFS for large-scale data processing; Developing and managing scalable machine learning models using AWS; Storing and retrieving data with Teradata Snowflake or Hive; Manipulating and analyzing data in Python using libraries including Pandas NumPy Scikit-learn and PyTorch; Developing and applying statistical models and machine learning techniques including XGBoost GLM Random Forest Neural Networks Clustering and K-Nearest Neighbors; Applying SHAP for global and local explainability in machine learning models; Maintaining version control conducting code reviews implementing automated testing and utilizing continuous integration continuous deployment methodologies.
Job Location: 575 Washington Blvd Jersey City NJ 07310.
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 discretionary incentive compensation which may be 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. Additional details about total compensation and benefits will be provided during the hiring addition please visit: Salary: $175000 - $260000 per year.
Key Skills
- Project Management Methodology
- Project / Program Management
- Program Management
- Management Experience
- Microsoft Powerpoint
- Project Management
- Microsoft Project
- Budgeting
- DoD Experience
- Leadership Experience
- Supervising Experience
- Contracts
About Company
JPMorganChase, 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 ov ... View more
