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Sr. Quantitative Finance Analyst - AML Model Validation

Bank of America

New York (NY)

On-site

USD 80,000 - 140,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Sr. Quantitative Finance Analyst to enhance their Anti-Money Laundering model validation efforts. This role offers a unique opportunity to apply your expertise in statistical modeling and machine learning while leading governance activities. You'll collaborate with various teams and present findings to stakeholders, making a significant impact on the organization’s compliance and risk management strategies. Join a diverse and inclusive workplace that values your contributions and offers the chance to grow your career while making a difference in the financial sector.

Qualifications

  • 4+ years of experience in Anti-Money Laundering models and systems.
  • Strong familiarity with industry practices and techniques.

Responsibilities

  • Perform independent model validation and ongoing monitoring.
  • Lead projects on statistical modeling and machine learning.

Skills

Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications

Education

PhD in Quantitative Field
Masters in Quantitative Field

Tools

Python
SAS
SQL

Job description

Sr. Quantitative Finance Analyst - AML Model Validation

Charlotte, North Carolina; Jersey City, New Jersey; New York, New York

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.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. 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.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Responsibilities:

  1. Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
  2. Conducting governance activities such as model identification, model approval and breach remediation reviews.
  3. Providing hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.
  4. Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; communicating and interacting with the third line of defense (e.g., internal audit) as well as external regulators, as needed.
  5. Writing technical reports for distribution and presentation to model developers, senior management, audit and banking regulators.
  6. Acting as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-Money Laundering.

Minimum Education Requirement: PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics.

Required Qualifications:

  1. Knowledge and 4+ years of experience in building and understanding of Anti-Money Laundering models and systems.
  2. Strong familiarity with industry practices in the field and knowledge of up-to-date Anti-Money Laundering techniques.
  3. CAMS certification (preferred).
  4. Fluency in Python, SAS, and SQL.
  5. Excellent written and oral communication skills with stakeholders of varying analytic skills and knowledge levels.

Skills:

  1. Critical Thinking
  2. Quantitative Development
  3. Risk Analytics
  4. Risk Modeling
  5. Technical Documentation
  6. Adaptability
  7. Collaboration
  8. Problem Solving
  9. Risk Management
  10. Test Engineering
  11. Data Modeling
  12. Data and Trend Analysis
  13. Process Performance Measurement
  14. Research
  15. Written Communications

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 and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws.

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