Data Scientist

Job Title: Data Scientist

Location: San Antonio, TX (Onsite)

Job Description:

Essential Functions

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

· Lead interaction with and advising Management of regarding credit risk issues; formulates product strategy recommendations and evaluates the risk in the overall loan portfolio.

· Conduct autonomous end-to-end more complex statistical model creation, including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model

comparison/selection, deployment, and monitoring. Ensures adequate internal control processes around model development, implementation and validation are established.

· Develop, monitor, and maintain risk models using advanced machine learning and statistical

method. Research and recommend new approaches/algorithms to identify relationships among complex data and implements model changes to improve model performance.

· Understand the trends within consumer and commercial loans portfolio, their impact on model implementation design and performance, and develop timely approach to address changes; Develop necessary analytics and processes during model implementation and forecasting process to provide production support and resolution.

· Establish consistent and robust model implementation processes across models with effective review and controls.

· Communicate design and results of model’s development and implementation to a variety of

audiences, including senior management, bank supervisors, internal validation, Internal Audit and line of business credit and finance end users.

· Apply intermediate to advanced knowledge of financial processes and procedures, and routine modeling theories and techniques to create effective modeling solutions for a single or multiple business functions.

· Maintain documentation for key processes and model components across the team with focus on standardization of processes; Engage model development teams, model production, and

forecasting/model production team/users to develop consistent model implementation and process capabilities.

· Participate in regular interactions with various stakeholders to enhance model implementation processes and translate requirements into integrated forecasting process/tools for effective consumption.

· Assist management with maintaining the client's compliance with all applicable federal, state, and local laws, regulations, and ordinances by abiding by the client's compliance program and all policies, procedures, rules, and regulations.

Education and Experience

Equivalent combination of education and experience is considered.

· Master Degree in a quantitative discipline is required. PhD preferred

· Minimum of three (3) years of related work experience in building statistical models and advanced data analysis. Minimum of one (1) years of experience for PhD degree holders.

· Applied experience with Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis.

· Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R).

· Ability to manage multiple projects simultaneously and implement rapid changes in project direction.

· Proven project management skills.

· Excellent oral and written communication skills required

· Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and

prioritization skills, as well as strong attention to detail. This role is highly dynamic and will require critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team.

· Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment to develop solutions while balancing multiple priorities.

· Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations.