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Quantitative Finance Manager

1 month ago

Charlotte, North Carolina, United States Bank of America Full time
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.

Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

We're 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.

Bank of America believes both in the importance of working together and offering flexibility to our employees.

We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Job Responsibilities:

  • Leads a quantitative team with model coverage of specified focus areas and oversees stakeholder engagement, including team effort in preparation for audit and regulatory exams
  • Sets priorities related to quantitative modeling in line with the bank's overall strategy and prioritization
  • Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
  • Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
  • Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
  • Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes

Requirements:

  • PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Engineering, Computer Science, Statistics
  • Advanced knowledge and 7+ years of experience in building and understanding of Anti-Money Laundering models and systems
  • Strong familiarity with the industry practices in the field and knowledge of up-to-date Anti Money Laundering techniques
  • CAMS certification (preferred)
  • Fluency in Python, SAS and SQL
  • Excellent written and oral communication skills with stakeholders of varying analytic skill and knowledge levels