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Sr. Quantitative Finance Analyst - Non-Registered image - Rise Careers
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Sr. Quantitative Finance Analyst - Non-Registered

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 is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

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 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.

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
  • Leads 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
  • Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
  • Leads and provides 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

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

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

Required Skills:

  • 5 years of work experience is required.
  • Basic understanding of economic theory and economic modeling.
  • Strong interpersonal and decision-making skills. 
  • Strong Collaboration and Team skills.
  • Demonstrated problem solving skills.
  • Effective communicator at all levels with strong oral, written & influencing skills.
  • Integrates seamlessly across complex set of stakeholders, internal partners, external resources.
  • Aware, flexible, adaptive, and proactive.
  • Strong organizational and project management skills (Horizon).
  • Knowledge of Banking and Finance domain and/or experience working with model developers.
  • Python programming experience, (numerical programming and data wrangling libraries). 
  • Strong troubleshooting and debugging skills in Python.
  • Understanding code development process steps using SDLC tools: PyCharm & Git.


 

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)

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.

Average salary estimate

$167500 / YEARLY (est.)
min
max
$125000K
$210000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Quantitative Finance Analyst - Non-Registered, GHR

As a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America in Charlotte, you will play a pivotal role in shaping financial futures through advanced quantitative analytics and complex modeling. Your journey here involves diving deep into market risk stress testing, where you'll design and implement stress scenarios while generating vital reports that illuminate the key drivers behind the results. Picture this: leading the charge in developing innovative models and analytics processes to align with our bank’s strategy! You'll be at the forefront of identifying continuous improvements and overseeing model development that meets business requirements while adhering to overall risk appetite. If you possess a sharp mind for critical thinking and strong collaboration skills, this is the perfect opportunity for you to shine. You’ll work closely with stakeholders and senior management, providing valuable technical guidance and ensuring a seamless integration of your models into our systems. Your education and experience will come into play as you conduct statistical analyses on large datasets, combining qualitative insights with quantitative precision. Joining Bank of America means becoming part of a diverse and inclusive culture, with opportunities to learn, grow, and truly make a difference in the financial world. So, are you ready to take your career to the next level with a company that honors its commitment to Responsible Growth? Come join us, and let’s create positive change together!

Frequently Asked Questions (FAQs) for Sr. Quantitative Finance Analyst - Non-Registered Role at GHR
What are the key responsibilities of a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America?

As a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America, your main responsibilities include conducting quantitative analytics, leading the development of new models, and handling complex modeling projects. You will perform end-to-end market risk stress testing, lead planning for quantitative work priorities, and provide oversight for model development and risk management. Additionally, you'll collaborate with stakeholders, perform statistical analyses, and deliver insightful reports that contribute to our business strategies.

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What qualifications do I need to apply for the Sr. Quantitative Finance Analyst - Non-Registered position at Bank of America?

To qualify for the Sr. Quantitative Finance Analyst - Non-Registered role at Bank of America, a Master’s degree in a related field or equivalent experience is required. You should have at least 5 years of relevant work experience, along with strong problem-solving skills, effective communication abilities, and a basic understanding of economic theory and economic modeling. Familiarity with Python programming and knowledge of the banking and finance domain will set you apart from other candidates.

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How does the Sr. Quantitative Finance Analyst - Non-Registered role contribute to Bank of America's mission?

In this role, the Sr. Quantitative Finance Analyst - Non-Registered contributes to Bank of America's mission by leveraging quantitative analytics to drive Responsible Growth. Your work in developing risk models and performing detailed stress testing directly supports the bank’s efforts to strengthen its financial decision-making while ensuring compliance with risk appetite. Your insights will help enhance business strategies, ultimately aiding in the financial wellness of clients and communities.

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What skills are essential for success as a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America?

Success as a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America hinges on strong analytical skills, critical thinking, and the ability to work collaboratively across teams. You should be comfortable with data modeling, risk analytics, and technical documentation, as well as possessing robust problem-solving capabilities. Adaptability, strong verbal and written communication skills, and experience with Python for data troubleshooting and debugging are also crucial for excelling in this position.

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What is the career growth potential for a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America?

The career growth potential for a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America is significant. The role provides numerous opportunities to develop your skills in quantitative analysis and risk management, while allowing for collaboration with senior leadership and stakeholders. Bank of America is committed to promoting from within, so as you demonstrate your capabilities and contribute to the company's success, you'll have the chance to advance to senior roles within quantitative finance or related fields.

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Common Interview Questions for Sr. Quantitative Finance Analyst - Non-Registered
Can you explain your experience with quantitative modeling and how it applies to risk management?

In your response, highlight specific quantitative modeling projects you've led or participated in, focusing on the methodologies used, the risks assessed, and the outcomes achieved. Emphasize your analytical skills and your ability to translate complex data into actionable insights for risk management decisions.

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How do you prioritize and manage multiple quantitative projects simultaneously?

Discuss your project management techniques, such as utilizing timelines, setting priorities based on business strategy, and leveraging collaboration tools. Provide examples of how you've balanced various tasks effectively while ensuring high-quality outcomes.

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What statistical tools and programming languages are you proficient in for data analysis?

Mention your experience with statistical software and programming languages, particularly your proficiency in Python for numerical programming and data analysis. Share specific libraries or tools you've used, and describe how they've contributed to successful outcomes in your projects.

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Describe a time when you identified a critical risk or improvement in model development.

Share a concrete example where you successfully identified a risk or opportunity for improvement. Detail how you approached the issue, the analyses conducted, and the measures you proposed or implemented to address the situation effectively.

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How do you ensure effective communication when presenting findings to senior management?

Emphasize the importance of clear and concise communication, tailoring your presentations to your audience's level of knowledge. Discuss strategies you use, such as utilizing visual aids, focusing on key metrics, and providing actionable recommendations to make your findings more compelling.

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Can you explain your approach to conducting market risk stress tests?

Describe your step-by-step process for conducting market risk stress tests, including scenario design, implementation, and results analysis. Talk about how you interpret results and how they fit into the broader context of risk management decision-making.

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What challenges have you faced during model validation, and how did you overcome them?

Discuss specific challenges you’ve encountered during model validation, such as data inconsistencies or stakeholder disagreements. Explain the steps you took to address these challenges, emphasizing your analytical and problem-solving skills.

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How do you stay updated on the latest quantitative finance trends and methodologies?

Highlight your commitment to continuous learning through resources such as industry publications, webinars, and networking with professionals in the field. Share specific examples of trends you've incorporated into your work or discussions you've initiated based on your research.

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What strategies do you employ to collaborate effectively with stakeholders across different teams?

Explain your approach to collaboration, such as establishing clear communication channels, actively seeking feedback, and maintaining a transparent workflow. Provide examples of successful collaborative projects to illustrate your points.

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Why do you want to work as a Sr. Quantitative Finance Analyst - Non-Registered at Bank of America?

Reflect on your alignment with Bank of America’s mission of Responsible Growth and your enthusiasm for contributing to such a dynamic team. Discuss how the role fits your career aspirations and how you believe your skills can make a meaningful impact.

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EMPLOYMENT TYPE
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DATE POSTED
March 27, 2025

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