Senior Quantitative Finance Analyst

Posted 6 Days Ago
Be an Early Applicant
Charlotte, NC
125K-210K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
The role involves conducting quantitative analysis and complex modeling for risk management, specifically in Anti-Money Laundering. Responsibilities include model validation, governance, and collaboration with modeling teams. The analyst will provide leadership in statistical modeling and machine learning approaches while producing technical reports for senior management and regulators.
Summary Generated by Built In

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 Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Enterprise Model Risk Management seeks a Sr Quantitative Fin Analyst – Anti-Money Laundering (AML) to conduct independent testing and review of complex models used to monitor and mitigate money laundering risk. The candidate should exhibit familiarity with industry practices and have knowledge of up-to-date AML techniques. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning methods to manage the bank’s AML models and model systems. 
 
The position will be responsible for: 
Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review. 
Conducting governance activities such as model identification, model approval and breach remediation reviews. 
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. 
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. 
Writing technical reports for distribution and presentation to model developers, senior management, audit and banking regulators. 
Acts 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:

Knowledge and 4+ years of experience in building and understanding of Anti-Money Laundering models and systems. 
Strong familiarity with 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 skills and knowledge levels.

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

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NJ - Jersey City - 525 Washington Blvd (NJ2525), US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range$125,000.00 - $210,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Top Skills

Python
R
The Company
HQ: Charlotte, NC
208,000 Employees
On-site Workplace
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth.

Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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