Quantitative Finance Analyst

Key Skills

Finance, Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, Alteryx, Tableau, Google Cloud Platform (GCP), Data Analytics, R Programming, Data Warehousing

Job Description

Bank of America has an opportunity for a Quantitative Finance Analyst within the Alternative Modelling Group & Quantitative Solutions (AMG-QS), a Global Risk Analytics (GRA) 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 and develops a consistent set of risk and capital models and analytical tools that support decision making across the bank.

As part of GRA - Alternative Modelling Group & Quantitative Services (AMG-QS) builds alternative models, using innovative methods, which challenge and benchmark risk and capital champion models across the enterprise; and has a vision to challenge what is possible across Risk and Capital Modelling.

The Quantitative Solutions Group seeks to provide a broad range of innovative and operationally excellent solutions to GRA and GRA’s key partners technological issues; with a vision of exporting this capability into Risk and the Enterprise more broadly. The team’s objective is to change the way

GRA and its partners operate and to shift the expectation level on what we are able to do with computers in terms of performance and flexibility; and by doing so stretch the horizons of capabilities GRA can offer.

Responsibilities:

• The team has a requirement for a highly motivated Quantitative Finance Analyst to support critical work across the Enterprise. The right candidate will be someone who likes to solve problems by writing code

• Supporting the continued roll out of GRA's new core platform (GCP) to new users and enhancing the platform's core capabilities

• Expanding and upgrading the statistical libraries used to ensure GRA models are developed consistently and in an operationally excellent way

• Standardising and optimizing processes across the Model Development, Execution and Testing Lifecycle

• Developing and implementing High Performance Modelling across a number of GRA’s critical models to significantly enhance the efficiency and flexibility of GRA’s processes

• Critical to the role is to be able to think outside the box of current industry standards to develop innovative approaches to quantitative technical challenges

• Pro-actively work with stakeholders across multiple lines of business to collect requirements and then develop and build technical solutions to meet the

• Implement solutions using well written and well governed python code

What we are looking for:

• Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)

• Experience in model development, statistical work, data analytics; or quantitative research, Masters or PhD

• Confident programming skills e.g. R, Python, SQL, or other languages

• Proven analytical and problem-solving skills

• Professional communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences

• Effectively presents findings, data, and conclusions to influence senior leaders

• Ability to work in a large, complex organization, and influence various stakeholders and partners

• Team player able to seamlessly transition between contributing individually and collaborating on team projects

Desired Skills and Experience:

• Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning

• Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques

• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis

• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions

• Experience with data analytics tools (e.g., Alteryx, Tableau)

• Experience with LaTeX

Benefits of working at Bank of America:

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.

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, religion or belief, 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.