Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions.
Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.
Essential Functions:- Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and accountlevel valuation domains.
- Provide endtoend ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
- Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals. Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
- Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
- Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decisionmaking.
- Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
- Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.
Compliance with Laws and Regulations- Responsible for complying with all of the Banks internal control policies and procedures.
- Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
- Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.
Additional Responsibilities- Perform other duties as assigned by senior management.
- Maintain ethical standards, judgment, and confidentiality in all matters.
Requirements for Success:
Education & Experience:
- Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required.
- Advance Degree (Masters or PhD) in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is preferred.
- Three (3) years of hands-on experience with a bachelors degree, or two (2) years hands-on experience with a masters degree, in quantitative fields (same as above).
Knowledge, Skills and Capabilities:
- Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
- Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
- Strong verbal, written, and interpersonal communication skills.
- Proven ability to collaborate effectively within crossfunctional teams.
- Ability to navigate ambiguity and work handson with complex business and technical challenges.
- Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
- High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up ones sleeves.
#INDHP1
Our Employee Value Proposition
- Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
- Benefits Package -Medical, Dental, and Vision (plus much more)
- 401(k) Plan with Company Match
- Short- & Long-Term Disability
- Wellness Programs
- Group Life and AD&D Insurance
- Paid Vacation, Sick Days and bank Holidays
- Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition
We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.
