Quantitative Finance Analyst, Model Developer - Global Financial Crimes

Bank of America; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

Bank of America is seeking a Quantitative Finance Analyst to join the Enterprise Risk Analytics team in Charlotte, NC. The role focuses on applying quantitative methods to meet risk management and regulatory requirements for complex portfolios.

You will independently conduct analytics and modeling projects, develop new models, document methodologies, and collaborate with Technology to implement model-driven solutions that support AML Event Processor and related risk initiatives.

Qualifications

• Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics).
• 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD.
• Strong Programming skills e.g. R, Python, SAS, SQL or other languages.
• Strong analytical and problem-solving skills.

Responsibilities

• Responsible for independently conducting quantitative analytics and modeling projects.
• Responsible for developing new models, analytic processes or systems approaches.
• Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
• Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Skills

Quantitative analytics

Model development

Analytical problem-solving

Programming: R/Python/SAS/SQL

Education

Graduate degree in quantitative discipline

Tools

R

Python

SAS

SQL

Job description

As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• Understanding and executing activities that form the end-to-end model development and use life cycle
• Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology

Position Overview

• Responsible for independently conducting quantitative analytics and modeling projects.
• Responsible for developing new models, analytic processes or systems approaches.
• Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
• Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products..
• This role will support the AML Event Processor and respective team. The Event Processor is a consolidation engine that aggregates events from all detection channels and calculates aggregated risk scores for event groups based on individual risk factor scores.

Required Skills:

• Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
• 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD
• Strong Programming skills e.g. R, Python, SAS, SQL or other languages
• Strong analytical and problem-solving skills

Desired Skills:

• Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
• Experience with large data sets
• Effective at prioritization/time and project management
• Broad understanding of financial products

Shift:

1st shift (United States of America)

Hours Per Week:

40