Bank Of America Senior Quantitative Finance Analyst 

United Kingdom, England, London 

328429602

Job Description:

Job Title:Senior Quantitative Finance Analyst

Corporate Title:Up to Director

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.

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. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Responsibilities:

• Performing end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and assesses stress scenario results to better understand key drivers

• Supporting the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization

• Identifying continuous improvements through reviews of approval conclusions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation

• Maintaining and providing oversight of model development in respective focus areas to support business requirements and the enterprise's risk capacity

• Provides methodological and technical guidance to effectively question and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk

• Working closely with model stakeholders and senior management with regard to communication of submission and validation outcomes

• Performing statistical evaluations on large datasets and interprets results using both qualitative and quantitative approaches

What we are looking for:

• A degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
• Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics
• Ability to develop quantitative models and handle large data sets
• Proficient programming skills; SQL, Python, VBA, Latex

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)

UK

• 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.

We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.