Risk Data Scientist

About the Role

Key Responsibilities

• Works with large, structured, and unstructured datasets
• Uses quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk - unlocking value across all functional areas of business
• Uses Big Data tools (e.g. Hadoop, Spark, H2O, CDSW, Domino Labs, etc.) to build data analytics solutions
• Builds machine learning and Artificial Intelligence (AI) models from development through testing and validation
• Designs rich data visualizations to communicate complex ideas to business leaders and executives
• Communicates outcomes and proposed business solutions to senior Risk Data Scientists
• Draws insights from data to make quick, well-informed decisions with available information
• Demonstrates ability to continuously learn and provide value in a dynamic environment
• Understands all phases of the model lifecycle, ensuring that models and associated documentation comply with model validation expectations

Requirements

• Bachelor's degree and six (6) years of related experience
• Or Master's degree and four (4) 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
• Advanced SQL skills
• Comfortable with both 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
• Proficiency in visualization tools like Power BI and Tableau
• Strong business acumen and communication skills for engaging with both business and IT leaders

Nice to Have

• Background in banking and/or other financial services
• Experience in Agile Software Development
• Experience with libraries such as TensorFlow, Pytorch, or Keras
• Knowledge in Google Analytics and/or Adobe Digital

Qualifications

• Educational background in a STEM field (Bachelor's, Master's, or Ph.D.) as specified in requirements

Benefits & Perks

• 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