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Navy Federal Credit Union
Navy Federal Credit Union
H1B vizasi homiysiBank ishiMudofaaSug‘urta
Navy Federal Credit Union, asosan Qurolli Kuchlar, Mudofaa vazirligi, faxriylar hamjamiyatlari va ularning oilalaridan bo‘lgan 14 milliondan ortiq a’zoga xizmat ko‘rsatuvchi, a’zolariga tegishli moliyaviy tashkilotdir. Dunyodagi eng yirik kredit uyushmasi sifatida u kampuslar va 360 dan ortiq filialda 24 000 dan ziyod xodim orqali bank va moliyaviy xizmatlarni taqdim etadi. Undagi martaba imkoniyatlari mazmunli ish tajribasi va raqobatbardosh xodimlar imtiyozlariga e’tibor qaratgan holda a’zolarga yuqori sifatli xizmat ko‘rsatish missiyasini qo‘llab-quvvatlaydi.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma ShtatlariVAVirjiniya
128 500 $ – 164 700 $ / yil
GibridTo‘liq stavkaYetakchiTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
AWSHadoopPythonScalaSQL

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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