Join us on our mission to create a completely new, 100% digital bank that truly serves customers' best interests. We are a close-knit and fun-loving team of seasoned financial services professionals who came together for the challenge of building a bank from scratch - and we are committed to doing it all the right way (from technology infrastructure to modern marketing to customer experience).

We work with the flexibility and speed of a start-up. But we also have significant stability and capital from being part of the SMBC Group (Sumitomo Mitsui Banking Corporation). SMBC is the second largest bank in Japan and the 12th largest bank in the world with operations in over forty countries. And SMBC is committed to disrupting the US marketplace with ground-breaking products.

It is the best of both worlds, and we are seeking proven marketing leaders to propel us towards a national launch. We have both the ambitious growth plans and the 'patient capital' necessary to execute a multi-year plan. Join us on the journey to deliver an exciting concept of evolved banking.

Role Description

Decision Science Analyst sought by SMBC MANUBANK in Los Angeles, CA.

JOB DUTIES: Responsible for building, managing, and implementing Credit Risk and Loss forecasting models using Python/Pyspark. Have deep statistical and analytical knowledge and be adept at data wrangling, logistic regression, CART/CHAID concepts and application of latest Machine learning techniques like Extreme Gradient Boosting, Random Forest, LightGBM etc. Assist with the Model Governance function and work closely with cross-functional business partners in Credit, Fraud, Finance, Compliance, Data Engineering and Model validation. Specific duties include: 1) Develop Credit risk and fraud models for underwriting, portfolio management, and Collections using logistic regression, ML techniques like Random Forest, Light GBM, and/or Extreme Gradient boosting. 2) Develop and deploy programs and packages in Python that can be used to efficiently process data, generate reports and automate policy checks. 3) Perform new product risk analysis, stress testing, sensitivity testing Loss forecasting, etc. 4) Evaluate new data sources and identify business insights in big datasets using statistical modeling and analysis methodologies, considered methodologies include but are not limited to linear regression, logistic regression, decision trees, linear/non-linear optimization, and multivariate statistical analysis using Python/PySpark. 5) Convert complex data and findings into understandable tables, graphs, and written reports using Python and/or visualization tools such as Looker, Tableau, etc., and communicate strategies/proposals/solutions to key stakeholders. 6) Develop model documentation and work with compliance and governance teams to effect industry regulatory requirements. Telecommuting permitted from any location in the U.S.

JOB REQUIREMENTS: Requires a Master’s degree in Mathematics, Statistics, Computer Science, Economics or related field, plus two (2) years of experience in decision science, data science, data analysis or related quantitative analysis experience, including experience in Python/PySpark programming; data wrangling; and developing statistical models using Logistic regression and Machine Learning techniques.

• Specific skills: Position also requires education or experience in: 1) Data reporting tools such as Tableau or Looker; 2) Machine learning techniques such as XGB, LightGBM and Support Vector Machine; 3) Model governance and regulatory environment; 4) Credit bureau data and alternative data sources; and 5) Storytelling to capture and convey data insights

*Any level of knowledge, experience and/or coursework in the specific skills is acceptable.

Telecommuting permitted from any location in the U.S.

The salary for this position is $119,000 per year.

To apply, send resume to: Juan Donis/ Jdonis@manubank.com

EOE STATEMENT

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

CCPA DISCLOSURE

Personal Information Collection Notice: This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that SMBC MANUBANK collects and the business or commercial purpose(s) for which the PI may be used. We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https://www.smbcmanubank.com/privacy/ccpa-disclosure . Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format.