Risk Data Scientist

Key Skills

Aartificial intelligence, Adobe Analytics, Apache Hadoop, Apache Kafka, Big Data Technology, Data management, Data science techniques, Google-Analytics, H2O, Machine learning techniques, Python Programming, R Programming, SAS, SPARK Programming, SQL

Job Description

At Regions, the Risk Data Scientist researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes.

The position at this level works with multiple teams of data scientists, analysts, and visualization experts contributing independently to solve business problems with high complexity and enable effective risk management. Additionally, the position at this level requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable to drive data-driven decisions.

Primary Responsibilities

• Works with large, structured, and un-structured 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

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

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) year of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligence
• Two (2) year of working programming experience analyzing large, complex, and multi-dimensional datasets using a variety of tools such as SAS, Python, Ruby, R, Matlab, Scala, or Java

Preferences

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

Skills and Competencies

• Advanced Structured Query Language (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
• Expertise in analyzing large, complex, multi-dimensional datasets
• Proficient in visualization tools like Power Business Intelligence (BI) and Tableau
• Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
• Strong communication skills through data visualizations as well as written and oral presentations

Additional Responsibilities:

• Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes.
• Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives.
• Implementation of models.
• Develops and executes ongoing monitoring plan to monitor the performance of the models.
• Documentation of the model development, especially the implementation process.
• Supports model validation activities.
• Ad hoc analysis to address requests from business partners.

Additional Preferred Skills and Competencies:

• Degree in Statistics, Computer Science, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics
• High proficiency with Python, R, SAS, and SQL.
• Advanced data sourcing and management skills.
• Enhanced experience with web scraping.
• Knowledge and experience with CDSW platform.
• Experience with software development, especially deployment.
• Experience with classification models.

Position Type

Full time

Compensation Details

Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.

The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

Job Range Target:

Minimum:

$98,467.60 USD

Median:

$141,780.00 USD

Incentive Pay Plans:

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.

• 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

Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.

https://www.regions.com/welcometour/benefits.rf