ASO/VP - Quant Strategist, Credit

Bank of America; New York (NY); On-site; USD 130,000 - 225,000; Full time

Job summary

An established industry player is seeking a talented quantitative analyst to join their dynamic team. This role involves conducting quantitative analytics, developing risk models, and performing market risk stress testing. The ideal candidate will have a strong background in Python and C++, as well as a PhD or Master's degree in a related field. With a commitment to diversity and inclusion, this organization offers a supportive environment where you can thrive and make a significant impact. If you are passionate about leveraging data to drive financial growth and innovation, this opportunity is perfect for you.

Qualifications

• PhD or Master’s degree in a related field or equivalent work experience required.
• Experience in quantitative development and risk analytics is essential.

Responsibilities

• Conduct quantitative analytics and modeling projects for specific business units.
• Develop new models and perform end-to-end market risk stress testing.
• Support model development and communicate outcomes with stakeholders.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Test Engineering

Python

C++

Large Dataset Analysis

Education

PhD in a related field

Master’s degree in a related field

Tools

Python

C++

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 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 Responsibilities:

• Conduct quantitative analytics and modeling projects for specific business units or risk types.
• Develop new models, analytic processes, or systems approaches.
• Create technical documentation for related activities.
• Work with Technology staff in the design of systems to run models developed.
• Perform end-to-end market risk stress testing including scenario design, implementation, results consolidation, and analysis.
• Support the planning related to setting quantitative work priorities.
• Identify continuous improvements through reviews of approval decisions on model development or validation tasks.
• Support model development and model risk management.
• Provide methodological, analytical, and technical guidance.
• Communicate submission and validation outcomes with model stakeholders and senior management.
• Perform statistical analysis on large datasets.
• Develop and maintain desk tools in Python.
• Develop the analytics library in C++.
• Support the trading desk with existing models and new strategies.
• Work on optimal portfolio selection and automated portfolio quoting.
• Analyze large data sets.
• Develop hedging strategies and backtest their performance.
• Collaborate with partners from other desks.
• Work closely with the technology team to deliver analytics in the new system.

Required Skills:

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Experience in both Python and C++ is highly desirable.
• Minimum experience with object-oriented programming in either Python or C++ is required.
• Knowledge of working within a structured software development environment.
• Rigorous problem-solving skills.
• Knowledge of bond and credit derivative products.
• Experience with large dataset analysis.

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

Shift: 1st shift (United States of America)

Hours Per Week: 40

Pay Transparency: Pay range $130,000.00 - $225,000.00 annualized salary, offers to be determined based on experience, education, and skill set. This role is eligible for discretionary incentives and benefits.