Tech At Bloomberg

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Bloomberg technology drives the world’s financial markets. Nearly 6,500 technologists define, architect, build and deploy complete systems to fulfill the needs of leading financial market participants globally.

Data Science

SIGDIAL 2021: Improving Question-Answering Live Chat for Enterprise Help Desks

This SIGDIAL 2021 paper looks at the use of dialogue systems and community question-answering to improve enterprise help desk support live chat applications.

General

Meet the Team: Consumer Media Engineering

Engineers in Bloomberg’s Consumer Media Engineering Group are responsible for applications and systems that deliver market-moving news, data, audio, and video to Bloomberg’s consumer audience and syndication partners.

Data Science

Bloomberg’s AI Researchers & Engineers Publish 3 Papers at SIGIR & ICTIR 2021

SIGIR 2021 papers present contributions to both fundamental information retrieval problems, and to the application of NLP to narrative creation, web table research, and the evaluation of task-oriented dialogue systems.

General

Summer Internship Diary: Bloomberg Engineering Interns Edoardo, Eesha, and Shreya

Learn more about the teams that three of our university interns in EMEA and APAC are working with, the projects they’re working on, and the technical skills they’re learning,

General

Meet the Team: Futures & Options Engineering

Engineers with Bloomberg’s Futures & Options (F&O) Engineering Group manage the data & analytics of millions of non-equity listed instruments (e.g., futures and options on commodities, bond & interest rates, and foreign exchange (FX) rates).

Data Science

Bloomberg engineers partner with City of Chicago on Equity Dashboard

Engineers in San Francisco volunteered to develop the City of Chicago’s new Equity Dashboard in partnership with Bloomberg Associates; this effort was directed by Chicago’s Chief Equity Officer to assist the City with transparency around its hiring history and trends.

General

Get ready for Bloomberg’s Summer of Puzzles 2021!

Just like software, which engineers solves problems with creatively through code, puzzles also take creativity and ingenuity to solve

General

Summer Internship Diary: Bloomberg Engineering Interns Anuja & Josephine

Learn more about the teams two of our U.S. college interns are working with, the projects they’re working on, and the technical skills they’re learning,

Data Science

Bloomberg’s AI Researchers & Engineers Publish 4 NLP Papers at NAACL-HLT 2021

NAACL 2021 papers present contributions to both fundamental NLP problems in the areas of syntactic parsing and neural language modeling, and to applications of NLP focused on citation worthiness.

General

Meet the Team: DataHub Engineering

Engineers with Bloomberg’s DataHub Engineering team provide a distributed platform for hosting diverse, high-quality financial datasets — complete with managed data stores, search, discovery, batch analytics, and real-time stream processing.

General

Meet the Team: ESG Engineering

Software engineers from Bloomberg’s ESG Engineering team build data-driven products that help investors better understand how various companies score in terms of sustainability and societal impact and their associated potential financial performance.

General

Meet the Team: Sell-Side Engineering

Software engineers from Bloomberg’s Sell-Side Engineering team develop premium products that provide comprehensive multi-asset solutions to the sell-side, which cover all front-office trading and sales-trading workflows.

General

Meet the Teams: Frankfurt Engineering

In this collaborative melting pot of disciplines, software engineers in Bloomberg’s growing Frankfurt office often work cross-functionally to achieve their goals.

Open Source

Supporting the Python community by “Shifting Left”

Bloomberg is providing a grant to the Python Software Foundation (PSF) funding a full-time Project & Community Manager for the Python Packaging ecosystem

Data Science

WSDM 2021: Contextualizing Trending Entities in News Stories

New web-inspired research aims to contextualize trending entities in news by retrieving and ranking related entities

Diversity in Technology

4 Black technologists who have built their careers at Bloomberg

Meet Evens, Jennifer, Christian, and Kerry, four Black technologists who have built their careers in Bloomberg’s Engineering and Global Data departments.

General

Meet the Team: HR Engineering

Software engineers in Bloomberg’s HR Engineering team manage the technology and systems that help Bloomberg’s human resources staff to hire and manage talent around the globe.

General

Meet the Team: Data Services Engineering

Software engineers in Bloomberg’s Data Services Engineering team are responsible for the core data and analytics services that serve over 300 billion requests every day — putting data at the fingertips of our clients worldwide.

Diversity in Technology

Meet the Team: Compliance Engineering

Compliance Engineering builds products that help financial professionals maintain compliance with regulations covering the storage and retention of communications and trade data.

General

10 Insights from Adopting TypeScript at Scale

Insights & lessons learned during Bloomberg Engineering’s journey to adopt TypeScript as a first-class supported language

Diversity in Technology

Meet the Teams: SF Engineering

Many of the projects that the software engineers in Bloomberg’s growing San Francisco office work on have a strong focus on the use of open source.

Diversity in Technology

Meet the Team: AIM Engineering

The software engineers on Bloomberg’s Asset & Investment Manager (AIM) Engineering team build and manage the company’s buy-side trading platform.

General

Meet the Team: Indices Engineering

The software engineers on Bloomberg’s Indices Engineering team manage the systems that produce and publish the Bloomberg Barclays fixed income indices.

Data Science

Bloomberg’s Global Data & CTO Data Science Teams Publish Best Practices for Data Annotation Projects

A practical guide to the planning, execution, and evaluation of annotation projects, which are critical to the success of AI/ML initiatives.

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