Quantitative Engineer

Job Description:

Job Title: Quantitative Engineer

Corporate Title: Assistant Vice President

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. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

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) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with all the Lines of Business and Enterprise functions. GRA and EIT include vertical (i.e., business or risk-specific) functions and horizontal functions that cut across business and risk-types. A core pillar of our horizontal strategy is developing common, reusable, and scalable components that can be used across GRM. Quantitative engineers will be responsible for executing on this strategy.

Role Description:

Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modelling skills and the ability to work across the entire spectrum of a big data stack - from data to logic to model to UI to UX.

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Understanding financial data: schemas, flow, size, data issues, data controls, etc.
• Building performant big data pipelines
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
• Collaborate with key stakeholders across the Bank to understand modelling and testing business processes and requirements
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• Source and evaluate data required for modelling and testing
• Design and develop and implement models and tests
• Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes

• Demonstrable experience in software engineering in Quantitative Finance or other industries
• Excellent Programming skills (e.g., Python) and a sound understanding of Software Development Life cycle principles
• Bachelor's degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
• Experience with large scale data sets with structured or unstructured data
• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
• Experience implementing process improvements and automation

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing
• Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software
• Modelling / quantitative: basic modelling techniques (regression, classification, clustering, etc)

• Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner
• Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons
• 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum
• The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness etc.
• Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services.
• Access to an Employee Assistance Program for confidential support and help for everyday matters
• Ability to donate to charities of your choice directly through payroll and the bank will match your contribution
• Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK's most iconic cultural institutions and exhibitions.
• Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community.