Quantitative Finance Analyst

Job Description:

Job Title: Quantitative Finance Analyst

Corporate Title: Up to Director

Location: Bromley

Company Overview:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone.

Location Overview:

Join our bustling Bromley office, situated in one of London’s greenest boroughs. Here you’ll find plentiful and easy commuting routes, with central London just 15 minutes away by train.

The 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.

Role Description:

This job is responsible for conducting quantitative analytics and modelling projects for specific business units or risk types. Key responsibilities include supporting 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.

Responsibilities:

• Required to pro-actively seek out effective statistical estimation techniques required to model Physical Climate Risk.
• Pro-actively work with stakeholders across Physical Climate Risk to collect requirements and then develop and build modelling solutions to meet them.
• Implement models using well written and well governed python code.
• Produce clear and coherent technical documentation for internal and regulatory purposes.
• Promote the adoption of, and personally meet, GRA best practices for model development, implementation and monitoring.
• Critical to the role is to be able to think outside the box of current industry standards to develop innovative approaches to modelling problems.

What we are looking for:

• Highly numerical degree (Masters required; PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering.
• Demonstrable work experience in developing, documenting & maintaining risk and/or capital models and handling large datasets.
• Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics.
• 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 work.
• Curiosity and willingness to develop and work on new ways of modelling.

Skills that will help:

• Experience in the areas of Credit risk modelling, Climate modelling, Capital modelling, loss forecasting preferred.
• Knowledge of regulatory guidelines including CCAR, CECL, DFAST, ICAAP.
• Ability to engage with stakeholders, with an ability to work with colleagues in other functions (business, risk and model validation).

Benefits of working at Bank of America:

• Private healthcare for you and your family plus an annual health screen.
• Competitive pension plan, life assurance and group income protection cover.
• 20 days of back-up childcare and adult care per annum.
• The ability to change your core benefits as well as the option of selecting a variety of flexible benefits.
• Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services.
• Access to an Employee Assistance Program for confidential support.
• Ability to donate to charities of your choice directly through payroll.
• Opportunity to access our Arts & Culture corporate membership program.
• Opportunity to give back to your community through volunteering.

Bank of America:

Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk.

We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment.

We strive to ensure that our recruitment processes are accessible for all candidates.