Data Scientist II Client Protection

Job Description:

At Bank of America we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients teammates communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace attracting and developing exceptional talent supporting our teammates physical emotional and financial wellness recognizing and rewarding performance and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America you can build a successful career with opportunities to learn grow and make an impact. Join us!

Job Description:
This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems utilizing sophisticated analytics and deploying advanced techniques to devise solutions and presenting recommendations based on findings. Job expectations include demonstrating leadership resilience accountability a disciplined approach and a commitment to fostering responsible growth for the enterprise.

Fraud Prevention and Detection is looking for an experienced model validation professional to join our team and help combat financial crime.

Responsibilities:

• Enables business analytics including data analysis trend identification and pattern recognition using advanced techniques to drive decision making and collection data driven insights
• Applies agile practices for project management solution development deployment and maintenance
• Develops and reviews technical documentation capturing the business requirements and specifications related to the developed analytical solution and implementation in production
• Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models data science products data analysis reports or data visualizations while exhibiting the ability to work independently and in a team environment
• Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders and develops professional relationships to foster collaboration on work deliverables
• Supports the identification of potential issues and development of controls
• Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
• Develops advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB and neural networks
• Works closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate
• Partners with technology and model users to schedule deployments and planning ahead for future model installations
• Works with independent model risk management legal and compliance teams to ensure models are fully validated and approved for usage
• Produces analytics to ensure early model results look consistent with expectations
• Conducts regular model monitoring and sharing performance results and analytical insights with model stakeholders and users
• Supports Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated
• Tracks model changes after deployment and ensure appropriate documentation reflects any adjustments patches or updates
• Drives model performance analytics above and beyond Model Risk Management policy requirements including granular performance monitoring early trend detection root cause analysis and gap analysis

Required Qualifications:

• 4 years experience in model validation or development
• Must be proficient with SQL and SAS
• Excellent technical writing skills
• Critical problem solving abilities including selection of data and deployment of solutions
• Proven ability to manage projects exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team
• Excellent communication and influencing skills
• Thrives in fast-paced and highly dynamic environment
• Intellectual curiosity and strong urge to figure out the whys of a problem and come up with creative solutions

Desired Qualifications:

• Bachelors Degree in related field
• Advanced Quantitativedegree (Masters or PhD)
• 7 years of experience working in model validation.
• Experience in financial services (following SR-11-7 guidance is very desirable)

Skills:

• Agile Practices
• Application Development
• DevOps Practices
• Technical Documentation
• Written Communications
• Artificial Intelligence/Machine Learning
• Business Analytics
• Data Visualization
• Presentation Skills
• Risk Management
• Adaptability
• Collaboration
• Consulting
• Networking
• Policies Procedures and Guidelines Management

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Shift:

Hours Per Week:

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