Sr. Quantitative Finance Analyst

Bank of America Corporation

Jersey City (NJ)

On-site

USD 150,000 - 190,000

Full time

4 days ago

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Job summary

Bank of America seeks a Senior Quantitative Finance Analyst within the Alternative Modelling Group (AMG) of Global Risk Analytics to redesign, optimise, and deploy the next generation of risk and capital models across the enterprise. The role demands proven leadership, cross-functional collaboration, and a track record of delivering complex quantitative models.

You will work with stakeholders across the firm to implement innovative modelling approaches, produce rigorous technical documentation,

Qualifications

Master's degree or higher in a quantitative field; strong foundation in statistics and econometrics.
Experience developing and implementing large quantitative models; ability to manage large data sets.
Proven leadership abilities and ability to work across organizational lines.
Strong programming skills in SQL, Python, VBA; strong technical writing and communication.

Responsibilities

Provide leadership and technical acumen in design, development, implementation and deployment of new models and analytic processes.
Develop innovative modelling approaches using current industry standards.
Collaborate with stakeholders to collect requirements and translate them into modelling solutions.
Provide guidance on model development, implementation and monitoring to ensure regulatory compliance.
Promote best practices in model development and governance across the firm.
Identify opportunities to improve existing models and processes.
Produce clear technical documentation for internal and regulatory purposes.
Govern models to meet high regulatory expectations and deadlines.
Take ownership to deliver results and meet critical timelines.

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

Master's degree in Statistics/Financial Mathematics/Applied Mathematics

PhD in a related field (desirable)

Tools

SQL

Python

VBA

LaTeX

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!

Bank of America has an opportunity for a Senior Quantitative Finance Analyst within the Alternative Modelling Group (AMG), a Global Risk Analytics (GRA) team.

Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that support decision making across the bank.

As part of GRA - Alternative Modelling Group (AMG) builds alternative models, using innovative methods, which challenge and benchmark risk and capital champion models across the enterprise; and has a vision to challenge what is possible across Risk and Capital Modelling.

The role will involve re-designing, optimising, and leading the development, implementation and deployment of the next generation of Risk and Capital models to improve the bank's risk management capability. This is a challenging and intellectually stimulating role, across a dynamic and innovative risk and capital modelling portfolio that spans the Enterprise.

We are looking for experienced technically minded problem solvers with proven leadership credentials and the desire to work across functional areas to drive the design framework, model development, implementation, and deployment of next generation risk and capital models; including champion and challenger; able to leverage a wealth of experience in the pursuit of modelling excellence.

Responsibilities

Provide leadership and technical acumen and experience in the design, development, implementation and deployment of new models, analytic processes or systems approaches.
Critical to the role is to be able to provide current industry standards to develop innovative approaches to modelling problems.
Collaborate with stakeholders across the company to collect requirements and then develop and build modelling and technical solutions to meet them; and effectively communicate those solutions to stakeholders.
Provide insight and thought leadership into the implementation of new models, analytic processes or systems approaches.
Promote the adoption of industry best practice for model development, implementation and monitoring.
Collaborate with stakeholders across the firm to identify opportunities to improve existing models/processes.
Produce clear and coherent technical documentation for internal and regulatory purposes.
Be able to effectively govern models and processes to ensure we meet the highest levels of regulatory expectation.
Take ownership to deliver results and meet critical deadlines.

Required Qualifications

Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
Several years of relevant work experience or equivalent educational training
Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics
Experience developing and implementing large quantitative models, managing large data sets.
Proven leadership abilities, working across organizational lines.
Strong programming skills; SQL, Python, VBA, Latex
Strong technical writing and clear verbal communication skills
Experience of, and ability to work under pressure and deliver to tight deadlines.
Ability to work independently, multitask and properly prioritize multiple projects.
Curiosity and willingness to develop and work on new ways of modelling.
Capable of providing leadership to junior team members
Organized, practical and execution focused with some project management experience.

Desired Qualification

Experience in financial risk modelling, Capital modelling, loss forecasting etc.
Knowledge of regulatory guidelines including CCAR, CECL, DFAST, ICAAP.
Good stakeholder engagement skills with an ability to collaborate with colleagues in other functions (business, risk and model validation)
Self-motivated and intellectually curious about both the role, supporting technologies and the wider bank.

Skills