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Principal Data Scientist, Small Business Credit Risk
Lead data science and machine learning initiatives for small-business credit risk and lending analytics at Navy Federal Credit Union. Develop predictive models and insights that support underwriting, pricing, portfolio management, and member lending decisions.
संयुक्त राज्य
वर्जीनिया$1,28,500 – $1,64,700 / वर्ष
हाइब्रिडपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकविवरण
- Lead data science, machine learning, and advanced analytics strategy for small-business lending
- Analyze small-business credit, application, financial statement, cash flow, transaction, and performance data
- Support underwriting, risk segmentation, pricing, portfolio management, and the full member lending experience
- Partner with senior leaders and cross-functional teams to uncover high-impact opportunities
- Help shape product and credit strategies
- Convert complex data into scalable analytical solutions, actionable insights, and measurable business results
- Design, build, and assess complex predictive models and advanced algorithms
- Evaluate hypotheses and models, interpret results, and formulate recommendations
- Create and program complex software, algorithms, and automated processes
- Develop innovative approaches through exploratory analysis of complex, high-dimensional datasets
- Convert analytical results into charts, tables, and other decision-support formats
- Document analyses and communicate findings to varied stakeholder groups
- Direct moderate to large-scale projects and initiatives
- Promote best practices and ethical AI
- Collaborate with senior management on complex matters
- Provide technical guidance and mentorship to less experienced staff
- Expand analytical capabilities through descriptive, predictive, and prescriptive modeling
आवश्यकताएँ
- At least six years of experience with the required competencies
- Comprehensive knowledge and mastery of the relevant specialization
- Knowledge of statistics, machine learning, data mining, auditing, aggregation, reconciliation, and visualization
- Knowledge of programming, data modeling, simulation, and advanced mathematics
- Proficiency in SQL, R, Python, Hadoop, SAS, SPSS, Scala, and AWS
- Experience executing the model lifecycle
- Technical writing capability
- Strong data storytelling and technical presentation skills
- Research capability
- Advanced understanding of procedures, instructions, and validation methods
- Experience developing models
- Strong critical-thinking and problem-solving ability
- Ability to exercise independent and sound judgment
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a comparable quantitative field
- Ability to follow Navy Federal policies, procedures, and Bank Secrecy Act regulations
- Preferred: Master’s or doctoral degree in a quantitative discipline
- Preferred: Experience applying data science, machine learning, or advanced analytics to small-business banking, commercial lending, or small-business lending strategies
- Preferred: Experience designing analytical solutions across the lending lifecycle
- Preferred: Strong knowledge of small-business credit risk, cash-flow underwriting, commercial credit data, financial statements, transaction data, and alternative data sources
- Preferred: Ability to influence senior leaders and collaborate across lending products, credit risk, underwriting, operations, and model risk
लाभ
- Competitive compensation
- Comprehensive benefits and additional perks
- Meaningful professional experience
- An energized, engaged, and committed workplace culture
- Strong appreciation for team contributions
- Equal employment opportunity
- Medical accommodations and application or hiring assistance
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