Deadline: As soon as possible
Location(s)
United Kingdom
Overview
Details
About Us
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 are 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 organisation.
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!
The Team:
The Global Quantitative Program assigns Analyst’s to teams across the enterprise, opportunities include positions supporting various business groups, such as the below:
- Global Risk Analytics
- Enterprise Credit Risk
- Model Risk Management
- Enterprise Independent Testing
- Corporate Treasury
- Data, Digital & Global Marketing
- Global Market and Financial Risk
Training and Development:
Your training and development is our top priority with extensive formal training offered at the start of the program in addition to on-the-job support, events, and mentorship throughout. These opportunities include but are not limited to:
- Bank-provided trainings focused on our seven key risk types (Strategic, Credit, Market, Liquidity. Operational, Compliance and Reputational Risk)
- Peer Mentorship
- Enterprise Executive Speaker Series
- Employee Diversity & Inclusion Networks – LEAD for Women, Black Professional Group, LGBT+ Pride, and more
- Continuous Educational Speakers and Events
- Networking Events
- Access to the regional learning
Responsibilities:
A Quantitative Analytics Development Program is a two-year program in which participants rotate through two, one-year rotations across the enterprise. Throughout the program students will complete on-the-desk work for their assigned rotation as well have the opportunities to participate in ad hoc enterprise-critical projects that may arise. As an Analyst you will be placed into rotations where your primary responsibilities may include but are not limited to:
- Developing emerging risk assessments and analyzing credit risk scenarios
- Quantitative modelling, including building forecast models, pricing models, and stress test models.
- Conducting research and analysis to provide a micro view of risk management in a particular business line and a macro view of risk management for the bank.
- Assessing market trends and providing quantitative data for internal partners and ultimately, clients
- Applying quantitative knowledge to specific financial challenges and projects specific to your business alignment
- Implementing solutions applying both qualitative and quantitative methods
- Networking with risk executives and key stakeholders to cultivate meaningful relationships across various lines of business.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Eligibility
- Candidates are required to be pursuing a bachelor’s or master’s degree from an accredited college or university, with a graduation timeframe between September 2024 – June 2025
- Achieved minimum of 112 UCAS point (or equivalent) and on track for a minimum 2:1 degree classification (or equivalent)
- Able to join the programme in July 2025
What we are looking for
Essential:
- Have understanding and expertise in relevant technical areas which can include, statistics, time series analysis, probability theory, numerical analysis, optimization techniques, machine learning or high-performance computing.
- Have experience in computer programming, preferably in Python or C++
- Strong technical writing and clear verbal communication skills
- Ability to work under pressure and deliver to tight deadlines.
- Ability to work independently, multitask and properly prioritize work.
- Fluency in English, which is essential for all roles. A second language may be advantageous.
- Team-working, leadership and problem-solving skills are key qualities along with the proven ability to work in a fast-paced environment with a variety of people.
Dates
Deadline: As soon as possible
Cost/funding for participants
Internships, scholarships, student conferences and competitions.