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Data Scientist II - Fraud Senior Model Governance
- Bank of America (Plano, TX)
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Data Scientist II - Fraud Senior Model Governance
Charlotte, North Carolina;Plano, Texas; Richmond, Virginia; Boston, Massachusetts; Chandler, Arizona; Tampa, Florida; Chicago, Illinois; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona
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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 Summary:
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.
Client Protection is looking for an experienced model developer / data scientist to join our team and help us combat financial crime. The role is responsible for providing **model governance** support across the entire model life cycle.
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
+ Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph
+ Working 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
+ Partnering with technology and model users to schedule deployments and planning for future model installations
+ Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage
+ Producing analytics to ensure early model results look consistent with expectations
+ Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users
+ Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated
+ Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates
+ Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis.
+ Serve as a subject matter expert across model’s live cycle
+ Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.
Required Qualifications:
+ 4+ years of experience in model development or validation is required
+ Must be proficient Python, SQL (SAS is a plus)
+ 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
+ Able to provide guidance to junior data scientists.
+ Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solution
Desired Qualifications:
+ Bachelor’s Degree in related field or equivalent work experience
+ Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD)
+ 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas.
+ Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques
+ Experience with compliance of SR-11-7
+ Experience influencing mid to senior (executive) level leaders
+ Experience managing risk and issue remediation
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
Shift:
1st shift (United States of America)
Hours Per Week:
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
View your **"Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12.pdf) "** poster.
View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
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. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank’s required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.
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Data Scientist II - Fraud Senior Model Governance
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