DESCRIPTION:

Duties: Design and implement machine learning solutions to address business needs. Design adverse action reasons for machine learning models performing risk estimations. Implement various model metrics and validation measures, including out-of-time validation and in-time validation of behavioral models. Design and implement systems by optimizing model hyper parameter tuning processes and satisfying model validation needs. Perform data cleaning, wrangling, feature engineering, and feature selection for statistical models and more advanced machine learning techniques. Build and maintain high availability, low latency model systems with a focus on model development reliability testing and observability. Conduct full life cycle model development including the design, implementation, and validation of machine learning models along with model optimization and post-production performance monitoring. Collaborate with regulations including both internal model governance and external model regulators to ensure models and machine learning solutions strictly adhere to the desired level of model regulations.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Applied Statistics, Information Science, Computer Science, Computer Engineering, Information Technology, Statistics, Data Analytics or related quantitative field of study plus 1 year of experience in the job offered or as Machine Learning Engineer, Structural Analyst, or related occupation.

Skills Required: Requires experience in the following: machine learning pipeline infrastructures and model building on a distributed Spark computation platform such as Hadoop, HDFS, Teradata, AWS cloud, or Hive; programming in Python and JVM-based programming languages including Java and Scala; interpreting and explaining machine learning models including XGBoost and GBM; developing or applying statistical modeling and advanced machine learning techniques such as GLM Regression, Random Forest, Boosting Trees, Neural Network, Clustering, KNN, or Anomaly Detection to collect, organize, interpret, and summarize numerical data in order to identify useful information.

Job Location: 201 N Walnut St, Wilmington, DE 19801.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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 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.

Equal Opportunity Employer/Disability/Veterans