Data Scientist, Risk

Job Title:                           Data Scientist, Risk                       

Reports To:                      SVP, Data Science

FLSA Status:                     Exempt

Department:                    Risk

 

JOB SUMMARY: Responsible for developing data mapping specifications, including identification of data rules and defining transformation rules to immediately help achieve business objectives - working closely with other analysts, designated business units and executives to deliver high quality outcomes though the application of critical thinking skills applied to data analysis in order to advance the delivery of business value.

 

ESSENTIAL JOB FUNCTIONS:

• Use big data platform to mine and analyze data driving optimization and improvement of business strategies related to credit underwriting, collections, marketing and product development.
• Conduct moderate to complex data profiling and analysis to evaluate data sources to determine the best source for business information.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Identify and champion new initiatives aimed at delivering value to business stakeholders.
• Find opportunities for streamlining and automation of business processes that provide insights and business information to clients.
• Partner with subject matter experts, architects and engineers to capture and analyze business needs to lead the creation of all data modeling related artifacts.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Optimize complex SQL programs for speed and efficiency.
• Perform data wrangling, ETL, and data exploration tasks.

 

MINIMUM QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

 

• Bachelor of Science or master’s degree in business, math, finance, statistics, analytics, operations research, computer science, or related discipline from an accredited university, preferred.
• 2+ years’ experience in Data Analysis or equivalent work experience.
• Highly proficient with a variety of databases (SQL, Redshift, MySQL, GCP, PostgreSQL, Hadoop).
• Knowledge of advanced statistical modeling, testing, data mining, ETL, and data science techniques.
• Advanced MS Excel and PowerPoint.
• Advanced skills querying relational data systems for ETL and data integration tasks.
• Experience using Map/Reduce, Hive, GCP, Spark and Hadoop systems for distributed analytics and data processing.
• Experience visualizing/presenting data for stakeholders using: Tableau, Domo, GCP, Business Objects, D3.
• General programming experience in (Java, C#, Python, VB, etc.)
• Familiarity with data modeling concepts as well as knowledge of conceptual and logical data modeling practices.
• Familiarity with concepts of Operational Data Store and Data Warehouse, JSON, etc.

 

COMPETENCIES:

• Customer Service - Exceptional attitude and a passion for providing outstanding service to internal customers.

• Analytical Skills: Applies logic and complex layers of rules to analyze and categorize complicated information. Goes beyond analyzing factual information to develop a conceptual understanding of the meaning of a range of information.
• Mathematical Reasoning: Understands and can select and used advanced statistical and quantitative techniques and principles (e.g. random sampling, multiple regression, factor analysis, analysis of variances, and discriminate analysis) to achieve data or solutions.
• Problem Solving: Tests proposed solutions against the reality of likely effects before going forward; looks beyond the obvious and does not stop at first answers.
• Communications: Exhibits good listening and comprehension; Expresses ideas and thoughts in written form; Expresses ideas and thoughts verbally; Keeps others adequately informed; Selects and uses appropriate communication methods.
• Accuracy and Attention to Detail: Diligently attends to details and pursues quality in accomplishing tasks.
• Quality: Applies feedback to improve performance; Demonstrates accuracy and thoroughne