2023 Bloomberg Apprenticeship: Artificial Intelligence Level 7 (EMS & Trading Analytics Team)
Posted May 5, 2023 - Requisition No. 116065
Programme Duration: 24 months
Start Date: September 2023
Who are we?
At Bloomberg we work on purpose. The goal of our Apprenticeship Programme is to help you find yours.
Are you interested in the world of finance? Do you want to learn how data and technology keeps the global markets moving? Do you want to help bring clarity to a complex world and be a part of our future?
Bloomberg is a company that is constantly innovating, and as part of the Apprenticeship Programme you will learn as much about yourself as our business. Bloomberg will support you every step of the way. When you start, you will be connected with a buddy and a mentor who will help you navigate life at Bloomberg and support you as you pursue your new career. Regular check-ins will ensure you are happy and on track to reach your true potential.
What is the Apprenticeship Programme?
This Apprenticeship Programme at Bloomberg is an exciting opportunity to take your first steps in changing or starting a rewarding career. During your time with us we will support you in combining work and education - you will have an opportunity to gain a qualification in Artificial Intelligence free of charge (with an optional master’s degree top up) while also being an important and highly valued member of the team. We will trust you to build your knowledge of various technology tools and coding in data management space as well as some understanding of the financial markets to support our clients with their data-related queries, in addition to data domain experts.
This opportunity will provide you with an alternative route into a global organisation away from the classic university pathway. You will have a chance to learn from our experts, develop and grow, while working within a collaborative and innovative environment. During this programme you will build software that fuels innovative solutions for the Bloomberg Terminal and our wider suite of products. You will design high-impact solutions to help our customers optimize complex workflows, efficiently manipulate large datasets, and make quick, intuitive decisions. Our priority is delivering an excellent experience to our customers.
Introducing the Trading Automation and Analytics (TAA) Products team
The TAA team sits within the Enterprise Products area of the business. Enterprise Products focuses on delivering a scalable and modular risk and order management system centered around our industry leading Execution Management System (EMS) and trading venues, backed by our data, analytics and insights. Aligned around common client workflows and services, the team builds common components that are deployed via standard APIs across both native and third party channels in a user-agnostic way. Enterprise Products thoughtfully collaborates between Product and Engineering to achieve this shared vision.
TAA’s core mission is twofold. Firstly to design, build and deploy class leading products that enable our trading clients to automate their activity on our venue and routing businesses. Secondly, to use data to support and develop new decision support tools that can enhance the ability of execution traders.
The team looks after Bloomberg Rule Builder (RBLD) across all asset classes, Broker Wheel, as well as numerous analytic functions relied upon by thousands of clients globally every day.
Your role within the team will be to apply the AI and Data Science knowledge, gained through the AI Data Specialist qualification and independent research, to both create and enhance features including back-testing tools, smart rule creation screens, broker wheels and client analysis.
In addition, you will work closely with Product Managers to develop plans, write specifications and create documentation, including quality assurance oversight, and release planning. You will independently manage some projects from ideation to product release and work collaboratively with other Product Manager colleagues to integrate adjacent Bloomberg services in delivering a cohesive and consistent platform experience. You will actively engage with engineering, client support, data, and product teams to improve production processes and to increase the operational efficiency of the business.
- Available to start September 2023
- Undergraduate degree in a technical area (such as Maths, Physics or Computer Science) with proficiency in coding (Python)
- Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject
- Candidates must possess the right to work in the UK and have lived in the UK continuously for the past 3 years
We will trust you to have:
- Strong technical skills including a satisfactory level of Excel (using VLOOKUPs, pivot tables, formulae) and proficiency in coding skills (preferably Python, C#)
- A clear and demonstrable interest in technology (financial mathematics and statistics interest/background is a plus)
- Adaptability and resilience
- Strong customer service skills
- Excellent communication and negotiation skills, capable of building enthusiastic support for new ideas
- Strong attention to detail
- Aptitude for problem solving, plus the drive to think creatively
- Capable of handling multiple tasks simultaneously in a time sensitive environment
Step 1: Online Application Form: Submit an online application form along with your most up-to-date CV and/or your UCAS personal statement. Show us you are eligible.
Step 2: Telephone Interview: Successful candidates will be invited to schedule a 25 minute telephone conversation with a Bloomberg Recruiter. Show us you are motivated.
Step 3: On-site Assessment Day: Complete some interactive tasks and exercises designed to help you demonstrate your strengths and abilities. Show us you are capable.
Step 4: Final Interview: Meet with our Managers to discuss your motivations and potential. Show us you are the best person for the apprenticeship.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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