Data Scientist I - 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 analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

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

Responsibilities:

• Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights

• Applies agile practices for project management, solution development, deployment, and maintenance

• Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production

• Manages multiple priorities and maintains 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 engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables

• Mitigates risk by identifying potential issues and developing controls

• Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

• Develops advanced technical documentation for internally- and vendor-developed models

• 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:

• 3+ 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

• Excellent communication and influencing skills

• Thrives in fast-paced and highly dynamic environment

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