Data Science Lead (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 $158,000.00 and $198,000.00. 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:

Data Science Lead will enhance our Credit risk Data Science function, playing a pivotal role in shaping the future of data science and risk management in a dynamic, cross-collaborative environment at Jenius Bank. The ideal candidate will have a strong background in the consumer financial services industry with a focus in developing Credit risk models and data driven strategies, using bureau and alternative data. You will analyze the data and propose business use cases for risk in collaboration with Credit, Product, Fraud and compliance teams and develop models or data driven insights and strategies using ML or/and traditional statistical methodologies. Data Science lead will drive full lifecycle of compliant model development and approval process at the bank.

PRINCIPAL DUTIES AND RESPONSIBILTIES:

• Build and deliver advanced models for credit underwriting, account management and collections, utilizing both traditional credit bureau data and alternative sources such as bank transactional data, and employment data
• Develop model documentation and lead the approval process with Model Validation, second line and regulators.
• Work closely with Risk, Engineering, Product, Compliance and Analytics leadership to chart the roadmap for core risk decision-making and strategy, collaborating with cross-functional teams to shape the strategic direction of data science initiatives.
• Lead, mentor, and develop a high-performing team of data scientists and analysts, fostering a culture of transparency, innovation, and continuous improvement
• Ensure best practices in model development, deployment, and monitoring, while maintaining comprehensive documentation of processes, methodologies, and outcomes
• Communicate insights and model performance to senior management and stakeholders, ensuring alignment with business objectives and regulatory requirements
• Foster a culture of innovation through adoption of emerging technologies in Machine Learning and AI
   

POSITION SPECIFICATIONS:

• 7+ years of experience, with at least 4 years in the Consumer financial services industry or a PhD with at least 5 years of professional experience.
• A bachelor’s degree in mathematics, finance, industrial engineering, statistics, data science, or a related discipline; a master’s degree in these fields is preferred
• Expertise in design and build of risk underwriting and account management models that leverage alternative data, such as bank transactional data and specialty bureaus
• Strong expertise in statistical modeling methodologies, including ML and logistic regression, advanced data analysis techniques and reject inferencing.
• Proficiency in Python and SQL, familiarity in working with GCP and Vertex AI is a plus
• Experience with reporting tools like Power BI or Looker.
• A data-driven approach to solving complex business challenges, with the ability to break down difficult problems into actionable solutions
• Knowledge of credit products like Personal loans and Credit cards, with a strong understanding of credit underwriting, loan economics, and portfolio management
• Exceptional communication skills, enabling you to convey complex ideas clearly and effectively to diverse audiences, including non-technical stakeholders
• Creative problem solving, critical thinking skills, and get things done attitude
   

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.