Enable job alerts via email!

Commodities Quantitative Analyst

Bank of America

New York (NY)

On-site

USD 110,000 - 225,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An established industry player is seeking a talented Quantitative Analyst to join their Commodities Quantitative Strategies and Data Group. This mid-to-senior level role focuses on developing cutting-edge derivative pricing models and volatility modeling tools. The ideal candidate will possess a strong background in quantitative finance, with robust software development skills in C++ and Python. This opportunity offers a chance to work closely with traders and risk managers, contributing to high-performance analytics while making a significant impact in the global commodities trading business. If you are passionate about quantitative analysis and thrive in a dynamic environment, this role is perfect for you.

Benefits

Industry-leading benefits
Paid time off
Discretionary incentive eligibility

Qualifications

  • Advanced degree in Mathematics, Physics, or Financial Engineering.
  • Experience in quantitative analytics or development within finance.

Responsibilities

  • Develop and maintain pricing and risk models for commodities derivatives.
  • Collaborate with traders and risk managers for high-performance analytics.

Skills

Quantitative Finance
C++
Python
Derivatives Pricing
Volatility Modelling
Problem-Solving
Attention to Detail
Communication Skills

Education

Master's Degree in Quantitative Discipline
PhD in Related Field

Tools

Source Code Control Systems
Continuous Integration Environments

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 an 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.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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.

We are seeking a talented and driven Quantitative Analyst to join our Commodities Quantitative Strategies and Data Group (QSDG). This mid-to-senior level role focuses on the design, implementation, and maintenance of cutting-edge derivative pricing models and volatility modelling tools used across our global commodities trading business. The ideal candidate will have a strong background in quantitative finance, robust software development skills in both C++ and Python, and prior experience working on derivatives pricing models — ideally within commodities, though experience in FX, equities, or other asset classes with complex volatility dynamics is also relevant.

Key Responsibilities:

  • Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.
  • Contribute to the design and calibration of volatility surfaces and models.
  • Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.
  • Work closely with traders, structurers, and risk managers to deliver high-performance analytics and model-driven tools.
  • Write high-quality production code in C++ and Python, and contribute to the ongoing modernization of the analytics infrastructure.
  • Write comprehensive model documentation to support internal governance and regulatory requirements.
  • Collaborate with model validation and risk control teams throughout the model approval lifecycle.
  • Support day-to-day analytics needs and participate in the continuous improvement of the platform.

Qualifications:

  • Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field.
  • Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry.
  • Strong experience in pricing and modelling derivatives, preferably in commodities, but FX, equities, or other complex products also considered.
  • Solid knowledge of volatility modelling techniques and derivative pricing theory.
  • Proficiency in C++ and Python for numerical computing and model development.
  • Knowledge of working within a structured software development environment. Use of source code control systems, continuous integration environments, testing, release processes, etc.
  • Excellent problem-solving skills, attention to detail, and strong communication abilities.
  • Experience with model documentation and familiarity with model validation processes is a strong plus.

Preferred Skills:

  • Exposure to commodities markets (including, but not limited to energy, metals, ags, gas, power, index).
  • Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.

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

$110,000.00 - $225,000.00annualized 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.

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.

Important notice:
You are now leaving a Bank of America website.

By clicking Continue, you will be taken to a website that is not affiliated with Bank of America and may offer a different privacy policy and level of security. Bank of America is not responsible for and does not endorse, guarantee or monitor content, availability, viewpoints, products or services that are offered or expressed on other websites. Please refer to the website’s posted privacy terms and use.

You can click the Continue button to proceed or the Cancel button to return to the previous page.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Commodities Quantitative Analyst

Lensa

New York

On-site

USD 110,000 - 150,000

6 days ago
Be an early applicant

Credit Risk quantitative analyst

Ampcus Inc

New York

Remote

USD 90,000 - 130,000

Yesterday
Be an early applicant

Commodities Quantitative Analyst

Bank of America

New York

On-site

USD 90,000 - 150,000

30+ days ago

Quantitative Analyst

Acord (association For Cooperative Operations Research And Development)

New York

Remote

USD 200,000 - 250,000

30+ days ago

Quantitative Analyst

Keane & Beane, P.C.

Denver

Remote

USD 200,000 - 250,000

Yesterday
Be an early applicant

Senior Associate- Quantatitive Analyst

New York Life Insurance Company

New York

Hybrid

USD 77,000 - 133,000

Today
Be an early applicant

Sr. Model Risk Quantitative Analyst (Remote)

SouthState Bank

Winter Haven

Remote

USD 85,000 - 137,000

6 days ago
Be an early applicant

Quantitative Analyst

Onwardenergy

New York

On-site

USD 110,000 - 150,000

7 days ago
Be an early applicant

Commodities Quantitative Analyst

Bank of America

New York

On-site

USD 90,000 - 150,000

30+ days ago