Data Scientist - Fraud (Remote)

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).

The anticipated salary range for this role is between $103,000.00 and $154,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

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.

SUMMARY:

Under the supervision of the Fraud Strategy Manager, the data scientist will assist in building, managing, and implementing statistical models and apply segmentation techniques like CART/CHAID to identify new opportunities for business.  The Data Scientist will work closely with cross functional partners across Fraud, Marketing, Product, Technology and Operations to identify analytical and model development opportunities. In addition, the data scientist will assist in ensuring internal controls and documentation is complete and accurate. The data scientist will support the Model inventory management process as well as other governance initiatives across the bank.

PRINCIPAL DUTIES AND RESPONSIBILTIES:

• Development and implementation of the In-Business Model Risk Management program to identify, monitor and manage model risk.
• Responsible for model development documentation (MDD) for both in-house and vendor models.
• Responsible for model monitoring for DBU fraud models.
• Develop and review model performance monitoring reports, interpretating and analyzing results.
• Design effective model operational controls with model users. 
• Manage resolution of findings, recommend management actions plans and tracking progress.
• Support management of models including identification of models, documentation of model design, assumptions/limitations, output and uses and input processing.
• Collaborate with model owners to ensure models are business driven, properly implemented, and run.
• Assist in testing efforts and support requirements from Model Risk Management (2nd line of Defense), participate in full model development, validation and ongoing performance monitoring cycles

POSITION SPECIFICATIONS:

• Bachelor’s degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or equivalent.
• Minimum of 3 years working with analytics, quantitative models (including governance responsibilities) or in model risk management.
• Experience in application and transaction fraud management in consumer lending or banking 
• Demonstrated Proficiency SQL, Python and or R
• Broad knowledge/understanding of both the consumer lending market and how analytics tools and techniques can drive business/fraud strategy
• Direct experience developing or validating complex analytical models that will be used for strategic decision making.
• Working knowledge of regulatory requirements and expectations for model risk management.
• Ability to understand, analyze and test complex models.
• Ability to work cross-functionally
• Strategic thinker with strong judgment and business sense; ability to influence at the highest levels of organizations
• Experience in a startup-like environment with expertise in designing and implementing data schemas will be a plus.
• Graduate degree in Statistics, Mathematics, Computer Science, Operations Research, Physics, Economics, Engineering, or a related technical field preferred.

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.