Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization with a focus on managing credit risk.
Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models.
Perform routine assignments with increasing scope and complexity.
Work under close supervision with some latitude for problem solving within existing data platforms and tools.
Developing professional with basic skill set and proficiency.

Requirements

2-3 years of experience in exploratory data analysis
Statistics
Programming, data modeling, simulation, and mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Model Development
Communication
Critical Thinking
Collaborate and Build Relationships
Initiative with sound judgement
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Problem Solving (Responds as problems and issues are identified)
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Benefits

Competitive pay
Generous benefits and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

exploratory data analysisstatisticsprogrammingdata modelingsimulationmathematicsmodel lifecycle executiontechnical writingdata storytellingmodel development

Soft Skills

interpersonal skillscommunicationcritical thinkingcollaborationinitiativeproblem solvingresearch skillstechnical presentation skillsbuilding relationshipssound judgement