Quantitative Finance Analyst

Bank of America · Bromley, United Kingdom · United Kingdom

Quantitative Finance Analyst mid · Data Science & Analytics

Vista previa de la oferta

Quantitative Finance Analyst

mid · Data Science & Analytics

Job Description:

Job Title: Quantitative Finance Analyst

Corp Title: Up to Assistant Vice President

Location: Bromley

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. 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) is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective Risk and Capital measurement, management and reporting across Bank of America. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. The team drives innovation, process improvement and automation across all of these activities.

The AMG Team is responsible for developing and managing models across multiple domains, including Whoesale, Consumer and Global Financial Crimes.  The team has a requirement for a highly-motivated Quantitative Finance Analyst to join us to support enhancements to existing Wholesale and Consumer loss forecasting models as well as develoing new models.  There is always the potential for further growth supporting one of the numerous other areas we support (Global Financial Crimes, Finance, Markets, Capital, Physical Climate Risk).  The right candidate will be required to contribute across the full spectrum of model development lifecycle tasks and will be important to the successful delivery of models in this space.  In addition the right candidate will be needed to contribute more broadly to the regulatory driven suite of alternative and champion models developed by the team.

Responsibilities

Required Skills:

Desired Skills:

Benefits of working at Bank of America (UK):

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. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well.

We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religious or similar philosophical belief, political opinion, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.

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