Senior TypeScript Engineer - Buy Side Trading Our team:
Bloomberg AIM (Asset and Investment Manager) is our buy-side trading platform used by the biggest players in finance. Our platform is a one-stop shop that enables everything from idea generation to trade execution and post-trade operations. It is a market leading platform used to manage trillions of dollars every single day.

Our London team develops the Decision Support function. Our application allows fund managers to review market information in seconds and helps them make critical decisions. We are taking on the challenge of moving vast amounts of real time data to the client and creating workflows for instant analysis and action. Our focus is on performance, latency, scaling, intuitive user experience, and financial workflows.

Technologies and the environment:
Our application is written TypeScript, but you will get exposure to the full stack - including C++ and Python back end services. We put a special emphasis on performance testing, automation, and unit/integration testing. Bloomberg embraces Agile and InnerSource. We collaborate with many Engineering teams at Bloomberg, and contribute to their codebases. We contribute back to the OSS community whenever possible, actively working with TC39, contributing to TypeScript and other OSS projects.

You'll need to have:

• Strong JavaScript or TypeScript knowledge
• Experience designing and building client workflows and UIs
• A passion for testing, rapid delivery, and continuous integration
• A working knowledge of UNIX/Linux operating systems

We'd love to see:

• Contributions to OSS (particularly TypeScript or vs.code)
• Experience with Node.js
• Familiarity with Haskell or other FP languages
• Experience with C#, C++ or other OOP languages
• Exposure to financial instruments and workflows

You will use:

• TypeScript
• GTK Toolkit
• Node.js
• Jenkins, Github, JIRA
• Agile/Scrum

Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here:
https://www.bloomberg.com/careers/technology/engineering/software-engineering-experienced-hire/

We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know!

Senior TypeScript Engineer - Buy Side Trading Our team:
Bloomberg AIM (Asset and Investment Manager) is our buy-side trading platform used by the biggest players in finance. Our platform is a one-stop shop that enables everything from idea generation to trade execution and post-trade operations. It is a market leading platform used to manage trillions of dollars every single day.

Our London team develops the Decision Support function. Our application allows fund managers to review market information in seconds and helps them make critical decisions. We are taking on the challenge of moving vast amounts of real time data to the client and creating workflows for instant analysis and action. Our focus is on performance, latency, scaling, intuitive user experience, and financial workflows.

Technologies and the environment:
Our application is written TypeScript, but you will get exposure to the full stack - including C++ and Python back end services. We put a special emphasis on performance testing, automation, and unit/integration testing. Bloomberg embraces Agile and InnerSource. We collaborate with many Engineering teams at Bloomberg, and contribute to their codebases. We contribute back to the OSS community whenever possible, actively working with TC39, contributing to TypeScript and other OSS projects.

You'll need to have:

• Strong JavaScript or TypeScript knowledge
• Experience designing and building client workflows and UIs
• A passion for testing, rapid delivery, and continuous integration
• A working knowledge of UNIX/Linux operating systems

We'd love to see:

• Contributions to OSS (particularly TypeScript or vs.code)
• Experience with Node.js
• Familiarity with Haskell or other FP languages
• Experience with C#, C++ or other OOP languages
• Exposure to financial instruments and workflows

You will use:

• TypeScript
• GTK Toolkit
• Node.js
• Jenkins, Github, JIRA
• Agile/Scrum

Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here:
https://www.bloomberg.com/careers/technology/engineering/software-engineering-experienced-hire/

We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know!

Security Engineer - Penetration Testing Our Team:

We protect Bloomberg.
The Product Security team is dedicated to making our products and technologies as secure as possible. We report into the CISO, but work closely with engineering teams, product teams, and others across the organization to integrate security into the product lifecycle from design through deployment. Our colleagues depend on us to be application, network, and host security pros. We specialize in defining security requirements, performing application security assessments, and providing developers with remediation advice. On any given day we're performing security reviews on internal and third party applications, while evaluating processes, network design, and access controls.

What's The Role:
You'll be trusted to conduct security assessments from start to finish with minimal assistance. Depending on the project you may perform white, black, or grey box assessments and may develop proof of concept code to demonstrate the severity of findings. You'll tap into your "security instincts" to find vulnerabilities and break down complicated technical issues and the risks they pose to programmers, network engineers, system administrators, and management. You will collaborate with those teams to ensure correct design, development, and implementation of internal and customer facing projects. While deep technical skills are critical to success with us, we're also looking for fast learners who are passionate about security and are constantly researching to stay ahead of the newest threats. You should be analytical and love to problem solve. Teamwork is key so it's important that you know how to collaborate and be a great teammate.

You'll Need To Have:

• Experience leading and performing static and dynamic analysis on customer facing applications, websites, and large enterprise networks
• A consistent record of discovering, analyzing, and exploiting application vulnerabilities and misconfigurations on Windows and Linux platforms
• The ability to work with stakeholders throughout the vulnerability lifecycle to communicate issues and provide remediation guidance
• Proficiency in reading, writing, and auditing C and C++ (or similar language) and the ability to pick up new languages/technologies
• Proficiency in at least one scripting language such as Python
• Experience developing custom tools when necessary
• Knowledge of ubiquitous encryption technologies (PGP, SSH, SSL, etc.) and common authentication protocols (OpenID Connect, OAUTH, SAML, RADIUS, LDAP, KERBEROS, etc.)
• Knowledge of secure network design and system architecture
• A Computer Science or technology related degree

We'd Love To See:

• Proficiency in using IDA Pro, Ollydbg/Immdbg, Windbg, Burp proxy, and other software analysis/debugging tools
• Prior work as a consultant at a highly technical information security consultancy
• Publicly disclosed vulnerabilities (CVEs) and open-source tools

What's It Like To Work Here?
We work hard. We are ambitious and set ourselves tough business goals. We are a meritocracy, where everyone has a voice - not a job title. Working with people you trust, respect, and can collaborate with is more important than titles or position. Things move fast, and we want people who will enjoy working in this environment and feed off the energy. That being said, it isn't all about work. Giving back is one of our core values, and there are many ways to get involved in philanthropic initiatives, from helping local school kids with their reading, to helping clean up local parks and waterways.

If This Sounds Like You:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:
https://www.bloomberg.com/company/

Bloomberg is an equal opportunities employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Security Engineer - Penetration Testing Our Team:

We protect Bloomberg.
The Product Security team is dedicated to making our products and technologies as secure as possible. We report into the CISO, but work closely with engineering teams, product teams, and others across the organization to integrate security into the product lifecycle from design through deployment. Our colleagues depend on us to be application, network, and host security pros. We specialize in defining security requirements, performing application security assessments, and providing developers with remediation advice. On any given day we're performing security reviews on internal and third party applications, while evaluating processes, network design, and access controls.

What's The Role:
You'll be trusted to conduct security assessments from start to finish with minimal assistance. Depending on the project you may perform white, black, or grey box assessments and may develop proof of concept code to demonstrate the severity of findings. You'll tap into your "security instincts" to find vulnerabilities and break down complicated technical issues and the risks they pose to programmers, network engineers, system administrators, and management. You will collaborate with those teams to ensure correct design, development, and implementation of internal and customer facing projects. While deep technical skills are critical to success with us, we're also looking for fast learners who are passionate about security and are constantly researching to stay ahead of the newest threats. You should be analytical and love to problem solve. Teamwork is key so it's important that you know how to collaborate and be a great teammate.

You'll Need To Have:

• Experience leading and performing static and dynamic analysis on customer facing applications, websites, and large enterprise networks
• A consistent record of discovering, analyzing, and exploiting application vulnerabilities and misconfigurations on Windows and Linux platforms
• The ability to work with stakeholders throughout the vulnerability lifecycle to communicate issues and provide remediation guidance
• Proficiency in reading, writing, and auditing C and C++ (or similar language) and the ability to pick up new languages/technologies
• Proficiency in at least one scripting language such as Python
• Experience developing custom tools when necessary
• Knowledge of ubiquitous encryption technologies (PGP, SSH, SSL, etc.) and common authentication protocols (OpenID Connect, OAUTH, SAML, RADIUS, LDAP, KERBEROS, etc.)
• Knowledge of secure network design and system architecture
• A Computer Science or technology related degree

We'd Love To See:

• Proficiency in using IDA Pro, Ollydbg/Immdbg, Windbg, Burp proxy, and other software analysis/debugging tools
• Prior work as a consultant at a highly technical information security consultancy
• Publicly disclosed vulnerabilities (CVEs) and open-source tools

What's It Like To Work Here?
We work hard. We are ambitious and set ourselves tough business goals. We are a meritocracy, where everyone has a voice - not a job title. Working with people you trust, respect, and can collaborate with is more important than titles or position. Things move fast, and we want people who will enjoy working in this environment and feed off the energy. That being said, it isn't all about work. Giving back is one of our core values, and there are many ways to get involved in philanthropic initiatives, from helping local school kids with their reading, to helping clean up local parks and waterways.

If This Sounds Like You:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:
https://www.bloomberg.com/company/

Bloomberg is an equal opportunities employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Research Engineer - Artificial Intelligence News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and we ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps our clients informed, and our team's insights help make sense of it for our customers.
 
Who are we? Bloomberg's Artificial Intelligence (AI) group is a team of engineers and researchers who have a passion for solving complex problems. Our charter: to extract and identify relevant, meaningful, tradeable, and actionable information (such as pricings, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time, as well as providing advanced ways of accessing this data (such as search, summarization, recommendations, and natural language question answering). Since our customers rely on this information to make swift financial decisions, we guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
We aren't just building customer-facing products, as the infrastructure and algorithms we develop are themselves used across the company. We also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever we can (see https://www.techatbloomberg.com/ai/ and https://bloomberg.com/company/d4gx/ ).
 
Who are you? A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, summarisation, information retrieval, question answering, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
 
We'll trust you to:

• work with others in the AI group and the company on production systems and applications
• publish research findings in leading academic venues and represent Bloomberg at industry conferences
• write, test and maintain production-quality code, and
• design, experiment, and evaluate algorithms, and models
 
You'll need to have:

• experience in AI, NLP, ML, Optimization, or related fields
• experience programming in C++, Python or Java, and
• a master's degree (PhD preferred) with industrial experience
 
We'd love to see:

• a quantitative background (Probability, Statistics, Linear Algebra, etc.)
• experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker), and
• publications in top-tier conferences or journals (such as ACL, AAAI, SIGIR, KDD, EMNLP, ICML, NIPS or equivalent)
 
Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: https://www.bloomberg.com/careers/technology/engineering/data-science-teams/
We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know! 

If this sounds like you, apply!
And do check out our blog, TechAtBloomberg.com/ai, to learn more about our publications and projects in data science.
 
Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Research Engineer - Artificial Intelligence News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and we ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps our clients informed, and our team's insights help make sense of it for our customers.
 
Who are we? Bloomberg's Artificial Intelligence (AI) group is a team of engineers and researchers who have a passion for solving complex problems. Our charter: to extract and identify relevant, meaningful, tradeable, and actionable information (such as pricings, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time, as well as providing advanced ways of accessing this data (such as search, summarization, recommendations, and natural language question answering). Since our customers rely on this information to make swift financial decisions, we guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
We aren't just building customer-facing products, as the infrastructure and algorithms we develop are themselves used across the company. We also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever we can (see https://www.techatbloomberg.com/ai/ and https://bloomberg.com/company/d4gx/ ).
 
Who are you? A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, summarisation, information retrieval, question answering, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
 
We'll trust you to:

• work with others in the AI group and the company on production systems and applications
• publish research findings in leading academic venues and represent Bloomberg at industry conferences
• write, test and maintain production-quality code, and
• design, experiment, and evaluate algorithms, and models
 
You'll need to have:

• experience in AI, NLP, ML, Optimization, or related fields
• experience programming in C++, Python or Java, and
• a master's degree (PhD preferred) with industrial experience
 
We'd love to see:

• a quantitative background (Probability, Statistics, Linear Algebra, etc.)
• experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker), and
• publications in top-tier conferences or journals (such as ACL, AAAI, SIGIR, KDD, EMNLP, ICML, NIPS or equivalent)
 
Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: https://www.bloomberg.com/careers/technology/engineering/data-science-teams/
We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know! 

If this sounds like you, apply!
And do check out our blog, TechAtBloomberg.com/ai, to learn more about our publications and projects in data science.
 
Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Senior Software Engineer - Multi-Asset Risk System On the MARS team, we embody the Bloomberg spirit. Our people and projects are dynamic, and we move at a fast pace. In the six years since our team was formed, we have grown tremendously and created a world-class product. We provide portfolio analytics to large financial institutions and internal clients. Our engineers are heavily involved in the design and development of the product to ensure our clients have access to industry leading data and insight. The team leads one of the largest computing systems in Bloomberg, and so we own the full development stack from the ground up.

Our platform provides risk calculations and analytics across various asset classes by applying distributed computing techniques that span hundreds of machines. In addition to expanding our main product offering, our main concern is performance which requires using different methods and technologies to achieve the optimal solution. We use big data software, distributed computing algorithms, dynamic resource allocations, and cluster management among others.

What's in it for you:

• You will join a close-knit, and growing group of 120 engineers
• You will dabble in a slew of technologies from big data to a wide variety of programming languages, and gain an understanding of the intricacies of crafting large scale distributed computation systems
• Every single day you will continue to push your engineering skills to the next level

We'll trust you to:

• Work directly with product owners to build products that our clients use to tackle complex problems
• Take ownership of technical solutions, development and delivery to production
• Develop in all levels of a web application stack, from the client to server side

You'll need to have:

• Commercial experience in a Software Engineering role covering the full development life-cycle
• Working knowledge in object-oriented programming language
• Strong knowledge and understanding of data structures, object oriented design and systems/applications programming
• Strong communication skills
• Knowledge of the financial domain

We'd love to see:

• Experience with automated testing tools
• Strong code review skills
• Experience in Python/Linux

If you are interested in the role and your skills are a good match, we will reach out to set up an interview.

Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here:
https://www.bloomberg.com/careers/technology/engineering/software-engineering-experienced-hire/ We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know !

Senior Software Engineer - Multi-Asset Risk System On the MARS team, we embody the Bloomberg spirit. Our people and projects are dynamic, and we move at a fast pace. In the six years since our team was formed, we have grown tremendously and created a world-class product. We provide portfolio analytics to large financial institutions and internal clients. Our engineers are heavily involved in the design and development of the product to ensure our clients have access to industry leading data and insight. The team leads one of the largest computing systems in Bloomberg, and so we own the full development stack from the ground up.

Our platform provides risk calculations and analytics across various asset classes by applying distributed computing techniques that span hundreds of machines. In addition to expanding our main product offering, our main concern is performance which requires using different methods and technologies to achieve the optimal solution. We use big data software, distributed computing algorithms, dynamic resource allocations, and cluster management among others.

What's in it for you:

• You will join a close-knit, and growing group of 120 engineers
• You will dabble in a slew of technologies from big data to a wide variety of programming languages, and gain an understanding of the intricacies of crafting large scale distributed computation systems
• Every single day you will continue to push your engineering skills to the next level

We'll trust you to:

• Work directly with product owners to build products that our clients use to tackle complex problems
• Take ownership of technical solutions, development and delivery to production
• Develop in all levels of a web application stack, from the client to server side

You'll need to have:

• Commercial experience in a Software Engineering role covering the full development life-cycle
• Working knowledge in object-oriented programming language
• Strong knowledge and understanding of data structures, object oriented design and systems/applications programming
• Strong communication skills
• Knowledge of the financial domain

We'd love to see:

• Experience with automated testing tools
• Strong code review skills
• Experience in Python/Linux

If you are interested in the role and your skills are a good match, we will reach out to set up an interview.

Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here:
https://www.bloomberg.com/careers/technology/engineering/software-engineering-experienced-hire/ We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know !

Senior Software Engineer - Portfolio Analytics Our team:
Bloomberg Portfolio Analytics (PORT) empowers the most prominent players in the financial world to manage their portfolios, assess exposures, and make decisions that move the markets. Our flagship product on the Bloomberg Professional service is a critical tool used daily by money managers, mutual funds, hedge funds, and pension funds around the world. PORT provides industry-leading quantitative financial tools and overnight batch report generation.

Our team focuses on the growing Portfolio Tickerization product. Tickerization allows Bloomberg clients to convert any portfolio into a ticker and use it anywhere as a security, including creation of portfolio hierarchies and exposing portfolio analytics data for enterprise clients. We are doing large improvements to Tickerization core infrastructure and developing multiple new components in Python. You will get to shape new parts of the system with complex scale and reliability requirements and work with variety of technologies - application services are in Python, C++ and Lua with PostgreSQL database. We care about our development experience and use docker-compose for consistent local development and CI.

Who are you?
An experienced developer with interest in distributed systems who enjoy working closely with business, clients and loves the challenge of transforming the current system!

We'll trust you to:

• Take ownership of the full development cycle and collaborate with the team on design and implementation of new parts of Tickerization
• Partner with clients and other developers to design, build and roll-out solutions that will optimize complex workflows
• Explore new technologies both within and outside of Bloomberg to see if any of them can help make our products run faster, increase stability, etc.
• Embrace working together as a team - mentoring and learning from their existing teammates to break knowledge silos and ensure that our team is producing reliable, well documented and well understood products for our clients

You will need to have:

• Proven experience in Python or C++
• Experience covering the full software development life cycle
• Interest in working in an application facing team- Understanding of distributed systems challenges e.g. prioritization, throttling, failure recovery
• Pragmatic problem-solving skills

We'd love to see:

• Interest in understanding our products and processes
• Experience in large distributed systems

Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: https://www.bloomberg.com/careers/technology/engineering/software
engineering-experienced-hire/

We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know!

Senior Software Engineer - Portfolio Analytics Our team:
Bloomberg Portfolio Analytics (PORT) empowers the most prominent players in the financial world to manage their portfolios, assess exposures, and make decisions that move the markets. Our flagship product on the Bloomberg Professional service is a critical tool used daily by money managers, mutual funds, hedge funds, and pension funds around the world. PORT provides industry-leading quantitative financial tools and overnight batch report generation.

Our team focuses on the growing Portfolio Tickerization product. Tickerization allows Bloomberg clients to convert any portfolio into a ticker and use it anywhere as a security, including creation of portfolio hierarchies and exposing portfolio analytics data for enterprise clients. We are doing large improvements to Tickerization core infrastructure and developing multiple new components in Python. You will get to shape new parts of the system with complex scale and reliability requirements and work with variety of technologies - application services are in Python, C++ and Lua with PostgreSQL database. We care about our development experience and use docker-compose for consistent local development and CI.

Who are you?
An experienced developer with interest in distributed systems who enjoy working closely with business, clients and loves the challenge of transforming the current system!

We'll trust you to:

• Take ownership of the full development cycle and collaborate with the team on design and implementation of new parts of Tickerization
• Partner with clients and other developers to design, build and roll-out solutions that will optimize complex workflows
• Explore new technologies both within and outside of Bloomberg to see if any of them can help make our products run faster, increase stability, etc.
• Embrace working together as a team - mentoring and learning from their existing teammates to break knowledge silos and ensure that our team is producing reliable, well documented and well understood products for our clients

You will need to have:

• Proven experience in Python or C++
• Experience covering the full software development life cycle
• Interest in working in an application facing team- Understanding of distributed systems challenges e.g. prioritization, throttling, failure recovery
• Pragmatic problem-solving skills

We'd love to see:

• Interest in understanding our products and processes
• Experience in large distributed systems

Interview process:
We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: https://www.bloomberg.com/careers/technology/engineering/software
engineering-experienced-hire/

We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know!