At a Glance
- Tasks: Analyse financial models and improve portfolio performance while mentoring peers.
- Company: Join Bank of America, a leader in financial services committed to diversity and inclusion.
- Benefits: Enjoy competitive benefits, flexible work options, and opportunities for personal growth.
- Why this job: Make a real impact in combating financial crime and enhancing financial lives.
- Qualifications: 4+ years in model validation, proficient in SQL and SAS, strong problem-solving skills.
- Other info: Work in a dynamic environment with opportunities for advanced technical development.
The predicted salary is between 43200 - 72000 Β£ per year.
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. Weβre devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Job Summary: This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the Line of Business and partner organizations including Risk and Product teams. Fraud Prevention and Detection is looking for an experienced model validation professional to join our team and help us combat financial crime.
Job Responsibilities:
- Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance.
- Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics.
- Identifies business trends based on economic and portfolio conditions and communicates findings to senior management.
- Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights.
- Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB and neural networks.
- 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 ahead 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.
Required Qualifications:
- A minimum of 4 years of experience in model validation or development is required.
- 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 βwhysβ of a problem and come up with creative solutions.
Desired Qualifications:
- Advanced Quantitative degree (Masters or PhD).
- 7+ years of experience working in model validation.
- Experience in financial services (following SR-11-7 guidance is very desirable).
- Proficiency with Python and Tableau.
Skills:
- Analytical Thinking
- Business Analytics
- Data and Trend Analysis
- Fraud Management
- Problem Solving
- Collaboration
- Innovative Thinking
- Monitoring, Surveillance, and Testing
- Presentation Skills
- Risk Management
- Data Visualization
- Interpret Relevant Laws, Rules, and Regulations
- Issue Management
- Oral Communications
- Written Communications
Shift: 1st shift (United States of America)
Hours Per Week: 40
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Bank or payment details should not be provided when applying for a job. All applications should be made via the 'Apply now' button.
Fraud Senior Model Governance Analyst employer: Bank of America
Contact Detail:
Bank of America Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Fraud Senior Model Governance Analyst
β¨Tip Number 1
Familiarise yourself with the latest trends in fraud detection and model validation. Understanding current methodologies and technologies, such as neural networks and XGB, will help you stand out during discussions with potential employers.
β¨Tip Number 2
Network with professionals in the financial services sector, especially those involved in model governance and risk management. Attend industry events or webinars to make connections that could lead to job opportunities at Bank of America.
β¨Tip Number 3
Showcase your analytical skills by engaging in projects or case studies related to portfolio risk and profitability. Having concrete examples of your work can demonstrate your capabilities and fit for the role.
β¨Tip Number 4
Prepare to discuss your experience with SQL and SAS in detail. Be ready to explain how you've used these tools in past roles to solve complex problems, as this is a key requirement for the position.
We think you need these skills to ace Fraud Senior Model Governance Analyst
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in model validation and financial analysis. Use keywords from the job description, such as 'SQL', 'SAS', and 'model performance analytics' to catch the employer's attention.
Craft a Strong Cover Letter: In your cover letter, express your passion for combating financial crime and your understanding of the role's responsibilities. Mention specific projects or experiences that demonstrate your analytical skills and problem-solving abilities.
Showcase Technical Skills: Clearly outline your proficiency in SQL, SAS, and any other relevant tools like Python or Tableau. Provide examples of how you've used these skills in past roles to drive improvements or solve complex problems.
Highlight Communication Abilities: Since the role requires excellent communication skills, include examples of how you've effectively communicated complex data insights to stakeholders or collaborated with cross-functional teams in previous positions.
How to prepare for a job interview at Bank of America
β¨Showcase Your Analytical Skills
As a Fraud Senior Model Governance Analyst, you'll need to demonstrate your analytical thinking. Prepare examples of how you've used data analysis to solve complex problems in previous roles. Be ready to discuss specific models you've validated or developed.
β¨Understand the Financial Services Landscape
Familiarise yourself with the financial services industry, especially in relation to fraud prevention and detection. Research Bank of America's approach to Responsible Growth and be prepared to discuss how your experience aligns with their values and goals.
β¨Prepare for Technical Questions
Expect technical questions related to SQL, SAS, Python, and model validation techniques. Brush up on your knowledge of regression models and advanced techniques like XGB and neural networks. Being able to explain these concepts clearly will impress your interviewers.
β¨Demonstrate Communication Skills
Effective communication is key in this role. Practice explaining complex technical concepts in simple terms, as you may need to present findings to senior management or collaborate with non-technical teams. Highlight any experience you have in mentoring or coaching others.