Innovate. Build. Iterate. Repeat. Discover new and better ways to build the best products and services for the global financial markets.

Innovate. Build. Iterate. Repeat. Discover new and better ways to build the best products and services for the global financial markets.


Engineering & CTO Teams

Engineering

Engineer with passion. Join 9,000+ engineers and researchers to design, build, and deploy advanced systems with immediate global impact. Enable end-users to optimize workflows, manipulate large datasets, and quickly make intuitive business decisions.

Artificial Intelligence

Work at the intersection of research and industry. Drive the research and development of Bloomberg AI to enable automation and innovation for our clients and the broader finance sector. Work alongside 400+ AI engineers and published researchers to develop and apply the latest AI techniques to complex financial challenges.

Software Engineering

Build at the crossroads of finance and tech. Design solutions, write code, and roll out software that enables our clients to quickly make decisions. Harness the power of 450 billion data points to extract insights that move the financial markets.

Web/UI Design/Development

Create our online presence. Empower 80 million unique monthly visitors with breaking news, expert opinions, and proprietary data through our digital properties and outlets.

Mobile

Design and engineer for business on the move. Build and develop robust mobile applications across our suite of products on iOS and Android. Place the power of Bloomberg information in the palms of our clients’ hands.



Chief Technology Office (CTO)

Visionaries wanted. Part ideas incubator, part research house, part product factory. Come envision, design, and prototype next-generation infrastructure, hardware, and software applications that interface with every aspect of our company.

Infrastructure Architecture

Design, build, scale, and secure. Plan, design, and partner to build the future of Bloomberg’s technology infrastructure, from networks to compute platforms, identifying ways to accelerate product delivery & secure our tech stack.

Applied Research

Bring your research to real world problems. Blend scientific analysis with engineering prowess to apply machine learning, deep learning, NLP, IR, and knowledge graphs across our full array products and technologies.

Quantitative Research and Development

Analyze. Develop. Optimize. Repeat. Solve complex problems and create solutions for the financial markets. Enable Bloomberg users to build, test, and share research with faster time-to-market.

Information Security

You’re ready for anything. Ensure our products, systems, networks, and commercial applications are built and maintained to be secure. From operations to threat management, you’re the front line that protects our business.

Technical Product Management

Combine your forward thinking with a customer mindset. Your product management expertise will guide your ownership of Bloomberg’s infrastructure, enable product growth, expand our client base, and help launch new offerings.

By the numbers

9000+

9000+

Technologists

13

13

Technical guilds

100+

100+

AI research papers published in the last 3 years

350+

350+

AI researchers

450billion

450billion

Data points are served by our core data and analytics services each day to enable Bloomberg clients to perform world-class financial analysis.

400billion

400billion

Market messages (ticks) are collected from exchanges around the globe, normalized, analyzed, and redistributed in real time to clients each day.

Students and recent graduates

When you apply for an entry-level software engineering or intern role at Bloomberg, you may notice that the position is not specific to a team or department. This may sound open-ended, but that’s what we’re going for. We want to learn about your skill set and interests through our interview process and help you find the team where you would be most impactful. And even if you’re not from a computer science background, we still want to hear from you.

Experienced hires

Our interview process for experienced candidates is customized to the role for which you are interviewing. We typically start with one or two phone interviews, followed by in-house interviews.

What our employees are saying

“The work we do is complex and challenging but also satisfying. You can measure the impact it has for our clients.”

Vanshika Agarwal

Senior Software Engineer, Dublin

As a back-end engineer, Vanshika optimizes the performance of our Data License Plus product. Working with Java, as well as technologies including Python and Kubernetes, she focuses on complex coding tasks to improve response times and traceability for customers who rely on Bloomberg to deliver accurate data and speed and scale.

“Bloomberg’s engineers code solutions that directly impact our company’s success while also contributing to the public good.”

Alyssa Wright

Co-Lead – Open Source Program Office, New York

Alyssa empowers our engineers to play an active role in the open source community and contribute to meaningful projects worldwide, including Jupyter and Apache Arrow. She also promotes the use of community-built tools across our Data and Product teams as part of our commitment to an open source-first tech stack.

“Bloomberg’s engineers code solutions that directly impact our company’s success while also contributing to the public good.”

Alyssa Wright

Co-Lead – Open Source Program Office, New York

Alyssa empowers our engineers to play an active role in the open source community and contribute to meaningful projects worldwide, including Jupyter and Apache Arrow. She also promotes the use of community-built tools across our Data and Product teams as part of our commitment to an open source-first tech stack.

“We created a turnkey Python coding environment so clients can create their own powerful insights using Bloomberg data.”

James Jarvis

Product Manager – BQuant Desktop, New York

James helped launch a powerful quantitative analytics solution that sits at the intersection of finance and data science. BQuant Desktop transforms the way financial analysts model risk, uncover opportunities and turn their ideas into differentiated strategies that help grow the world’s investments.

“Bloomberg is unique. You get the ownership and velocity of a startup with the resources and impact of a big company.”

Sambhav Kothari

Engineering Manager – AI Productivity, London

As a research engineer in the AI group, Sambhav found himself working at the limits of standard tooling. So he and his team built new tools to meet their needs. Today, he leads engineers in New York and London focused on creating productivity software that helps Bloomberg’s teams deliver AI systems at scale.

“Bloomberg is unique. You get the ownership and velocity of a startup with the resources and impact of a big company.”

Sambhav Kothari

Engineering Manager – AI Productivity, London

As a research engineer in the AI group, Sambhav found himself working at the limits of standard tooling. So he and his team built new tools to meet their needs. Today, he leads engineers in New York and London focused on creating productivity software that helps Bloomberg’s teams deliver AI systems at scale.

“Pick a technology and somebody, somewhere here is using it – but never for the sake of it. It’s about choosing the right tech for the problem at hand.”

Declan Costello

Engineering Group Manager – Data License Plus, Dublin

As an engineering lead in our Dublin office, Declan oversees teams working on everything from data center infrastructure to platform services to applications and content, helping them pick the right tool from our wide range of open source and in-house technologies to tackle complex engineering challenges.

A Day in the Life of a Bloomberg Engineer

Colleagues from our major offices around the global share their experiences of working here, in their own words.

Watch more from the team

(1:32)

“Bloomberg encourages to build networks, be it internally or externally, by participating in various conferences and by contributing to the open source community.”

— Deepak

“I joined Bloomberg on the finance side. I started in Global Data doing private equity. I taught myself with Python and it kind of went from there. So after about four years I decided I wanted to do it full-time, and Bloomberg has an internal mentoring program for those that want to move from internal departments to the engineering department.”

— Martine

(2:17)

(2:17)

“I joined Bloomberg on the finance side. I started in Global Data doing private equity. I taught myself with Python and it kind of went from there. So after about four years I decided I wanted to do it full-time, and Bloomberg has an internal mentoring program for those that want to move from internal departments to the engineering department.”

— Martine

Explore our areas of focus

While we’re big believers in using the right tools for the job, the majority of our software is built using C++, JavaScript/TypeScript, and Python. Bloomberg engineers are active members of the open source community, both contributing to and making use of open source software in our products, and human-centered design is at the heart of our technology.

Read our stories

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