Quant Developer - Quantitative Strategies & Data Group

Bank of America; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Bank of America is seeking a highly skilled Quant Developer/Strategist to join its Quantitative Strategies & Data Group. The role involves developing Python-based solutions to enhance market risk measurement across various asset classes. Responsibilities include model development, risk data testing, and collaboration with Front Office Technology and Risk partners.

Qualified candidates will have a Masters/PhD in a quantitative field and proficiency in Python, SQL, and C++. Strong analytical and communication skills are essential.

Qualifications

• Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background).
• Proficient in Python, SQL, C++, and other programming languages.
• Excellent analytical and problem-solving skills.
• Strong communication skills.

Responsibilities

• Develop and enhance market models to measure risk exposures.
• Support implementation of risk data testing frameworks.
• Investigate data issues and model anomalies.
• Partner with Tech, Quants, and Risk to ensure solutions are scalable.
• Drive continuous improvement through critical review of model development.

Skills

Proficient in Python

Proficient in SQL

Proficient in C++

Excellent analytical and problem-solving skills

Strong communication skills

Education

Masters/PhD in a quantitative subject

Job description

We are looking for a highly skilled and innovative Quant Developer / Strategist to join the Quantitative Strategies & Data Group within Global Markets. The team develops Python‑based solutions on the Bank’s strategic platform, Quartz, delivering strategic and regulatory programmes, including FRTB IMA, VaR, Strategic Risk and PnL, etc. The role offers exposure across all asset classes (Rates / Commodity / Credit / FX / Equity) and involves close collaboration with Front Office Technology, Risk, and Quant teams. This is a hands‑on role combining quantitative modelling, data analysis and engineering.

Key Responsibilities

• Develop and enhance market models (e.g. VaR) to ensure accurate measurement of risk exposures across trading books, in line with regulatory and internal governance requirements
• Support the implementation of robust risk data testing frameworks to assess the appropriateness, completeness and reasonableness of risk scenarios, VaR, expected shortfall and stress test calculations. This includes testing scenario design, implementation, results consolidation, and analyses of calculations to understand key drivers
• Investigate data issues and model anomalies, expanding and debugging the existing risk and PnL calculation code, and improving performance and maintainability
• Partner with Tech, Quants and Risk partners to ensure that the solutions are scalable and aligned with the programmes’ needs
• Drive continuous improvement through critical review of model development and validation outcomes, and constructive challenge and feedback on technical documentation

Required Qualifications and Skills

• Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background)
• Proficient in Python, SQL, C++ and other
• Excellent analytical and problem‑solving skills
• Strong communication skills
• Risk knowledge is desirable but not strictly necessary, provided there is a willingness to learn
• We welcome applications from junior candidates with at least 2 years of financial markets experience, as well as from more experienced professionals