Senior Data Scientist

CNG Holdings, Inc.

16d

About The Position

General Function / Summary: The Senior Data Scientist is responsible for participating in, developing and implementing advanced analytical models and strategies to drive business growth, enhance risk management, and optimize operations efficiency. The primary focus will be on modeling and strategy definition, leveraging your expertise in data analysis, statistical modeling, and lending/leasing domain knowledge. CNG Holdings, Inc. serves consumers by providing financial solutions which fill a need and deliver value. Our Mission Our mission is to help and to educate our customers, while building and nurturing long-term relationships. We strive to make a difference in our customers’ lives and the communities we serve. Our Vision Our vision is to deliver innovative financial solutions that better fulfill our customer’s unique financial needs so that they can build a better future for themselves and their families. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match.

Requirements

Bachelor’s degree in a quantitative field (statistics, math, computer sciences, engineering, economics); Master’s degree preferred
4+ years in the Financial Services industry with a strong focus on modeling and strategy developments
Expertise in statistical modeling techniques, such as regression analysis, decision tress, clustering, and time series forecasting
Proficiency in data manipulation and analysis using programming languages SQL and Python
Knowledge in R, SAS and/or tools such as Snowflake and Tableau
Strong knowledge of banking products, processes, and regulatory requirements
Excellent problem-solving skills and the ability to translate complex data analysis into actionable business insights
Strong communication and presentation skills, with the ability to effectively convey complex analytical concepts to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment and cross functional projects
Ability to manage multiple priorities and meet deadlines in a fast paced, dynamic environment
Ability and willingness to consistently live and embrace our core values of accountable, inclusive, transparent, and focused

Responsibilities

Lead development and implementation of advanced analytical models and strategies for various business functions, such as credit risk assessment, loss/revenue prediction, customer segmentation, and marketing campaigns.
Collaborate with cross functional teams, including marketing, finance, operations, and technology to develop and implement processes that optimize business objectives, identify data requirements, and design appropriate analytical solutions that include awareness of compliance requirements.
Conduct in-depth analysis of large and complex datasets using statistical tools and techniques to derive meaningful insights and identify trends, patterns, and correlations.
Evaluate the performance of existing models and strategies, identify areas for improvement, and propose innovative enhancements to drive business outcomes.
Develop predictive models, scoring methodologies, and decision framework to support credit underwriting, loan pricing, and other portfolio management activities.
Monitor model performance and track key performance indicators to ensure ongoing effectiveness and compliance with regulatory requirements.
Provide strategic recommendations and actionable insights based on analytical findings to senior management and key stakeholders.
Stay updated with industry trends, emerging technologies, and regulatory changes related to analytics in banking, and apply this knowledge to enhance the organization’s analytical capabilities.
Serve as resource across analytical teams on accurate use of data and programming as well as providing insights into risk management practices for lending portfolios for junior team members.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume