Quantitative Finance Analyst

Charlotte, NCPosted 5 days ago

Full-timeonsitemid

Job Description

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Responsibilities:

Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
Supports the planning related to setting quantitative work priorities 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
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the 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
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Overview of Role:

Responsible for performing more complex analysis and supporting development of AML transaction monitoring, economic sanctions or customer identification models. Other additional responsibilities Include:

Support AML Modeling with Ad-hoc Analytics, Distribution Analysis, Sensitivity Analysis
Support GFC with additional data analytics for drafting Business Requirement Document
Lead analytical support for various interim compensating control initiatives
Conduct and support below-the-threshold sampling

Main 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.
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
Supports the planning related to setting quantitative work priorities 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
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the 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
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Minimum Education Requirement: Master’s degree in related field or equivalent work experience

Required Qualifications:

Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
Strong Programming skills e.g. R, Python, SAS, SQL, or other languages
2+ years of experience in model development, statistical work, data analytics or quantitative research, or PhD

Desired Qualifications:

Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
Experience with data analytics tools (e.g., Alteryx, Tableau)
Demonstrated ability to drive action and sustain momentum to achieve results
Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
Sees the broader picture and is able to identify new methods for doing things
Experience with LaTeX

Skills: