Risk Data Scientist

🕒 4 days ago

🏈 Alabama – Remote

🏈 Alabama – Remote

💵 $73.5k - $115.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Regions Bank

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1971

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Regions Bank is a leading financial institution that provides a comprehensive range of banking services. With a strong focus on consumer and corporate banking, Regions offers services such as wealth management, consumer lending, and mortgage sales. The bank is committed to creating an inclusive workplace and values-driven culture. Community engagement and support for military and veterans are also key components of their operations, highlighting their dedication to making life better for customers and communities. Regions Bank is known for its commitment to employee satisfaction and career development, fostering a supportive and inclusive environment for its associates.

📋 Description

• Research, model, implement, and validate predictive and prescriptive algorithms to analyze diverse data sources and achieve targeted outcomes • Work with multiple teams of data scientists, analysts, and visualization experts to solve complex business problems and enable effective risk management • Work with large, structured, and unstructured datasets • Use quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk • Use Big Data tools such as Hadoop, Spark, H2O, CDSW, and Domino Labs to build data analytics solutions • Build machine learning and artificial intelligence models through development, testing, and validation • Design rich data visualizations to communicate complex ideas to business leaders and executives • Communicate outcomes and proposed business solutions to senior Risk Data Scientists • Draw insights from data to support quick, well-informed decisions • Continuously learn and provide value in a dynamic environment • Manage all phases of the model lifecycle and ensure model documentation complies with model validation expectations

🎯 Requirements

• Bachelor's degree and four (4) years of related experience, or Master's degree and two (2) years of related experience, or Ph.D. and two (2) years of related experience in a quantitative/analytical/STEM field • One (1) year of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka • Two (2) years of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligence • Two (2) years of working programming experience analyzing large, complex, and multi-dimensional datasets using tools such as SAS, Python, Ruby, R, Matlab, Scala, or Java • Background in banking and/or other financial services preferred • Experience in Agile Software Development preferred • May require experience in libraries such as TensorFlow, Pytorch, or Keras • Knowledge in Google Analytics and/or Adobe Digital • Advanced Structured Query Language (SQL) skills • Comfort with relational databases and Hadoop-based data mining frameworks • Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms • Expertise in analyzing large, complex, multi-dimensional datasets • Proficiency in visualization tools such as Power BI and Tableau • Strong business acumen and ability to communicate with business and IT leaders • Strong written, oral, and data-visualization communication skills

🏖️ Benefits

• Annual discretionary bonus plan may apply • Paid Vacation/Sick Time • 401K with Company Match • Medical, Dental and Vision Benefits • Disability Benefits • Health Savings Account • Flexible Spending Account • Life Insurance • Parental Leave • Employee Assistance Program • Associate Volunteer Program