Applied AI​/ML Engineer — Financial Modeling & Production

Responsibilities

Design and develop machine learning models to drive impactful decisions for the card business throughout the customer lifecycle involving acquisition, account management, transaction authorization, and collection. Utilize cutting‑edge machine learning approaches and construct sophisticated machine learning models, including deep learning architecture on big data platforms. Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production.

Collaborate with partners in marketing, risk, technology, and model governance throughout the entire modeling lifecycle involving development, review, deployment, and use of the models. Present model results and ad‑hoc research to senior leaders.

Minimum education and experience required:
Master’s degree in Financial Engineering, Mathematics, Statistics, or related field of study plus 3 years of experience in applied AI/ML, software development, risk technology, quantitative analytics, or related occupation. Alternatively, bachelor’s degree in Financial Engineering, Mathematics, Statistics, or related field of study plus 5 years of experience in the above areas.

Skills:

• Python programming with data manipulation, analysis, and machine‑learning libraries including Pandas, Num Py, scikit‑learn, and PyTorch; OOP in C# for production‑grade financial data workflows.
• Developing predictive models and working with cloud‑based solutions on financial datasets, using logistic regression, gradient boosting, decision trees, and deep learning (LSTM, transformer‑based models, BERT).
• Econometric modeling and data mining, using regression, principal‑component analysis, and time‑series methods.
• Programming in MATLAB and R for statistical analysis and rapid prototyping.
• Financial model governance frameworks and regulatory compliance standards.

301 North Walnut Street, Wilmington, DE 19801.

Full‑Time.

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.