Quantitative Engineer

Job Description:

Job Title:

Quantitative Engineer Corporate

Title:

Up to 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!

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.

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementation of 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 billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes).

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative engineers have a combination of software engineering, big data, modelling and management 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.

• Seek opportunities for consistent improvement in quality, efficiency, and processes

• Partner effectively with senior stakeholders within GRA, Front Line Units, Technology, Audit and Compliance

• Provide leadership and oversight to less experienced team members

• 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

• Think outside the box of current industry standards to develop innovative approaches

• 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

• Several years of relevant work experience

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g., mapreduce, data frames, etc), optimizing distributed software

• Modeling /…