The Financial Data & Calcs department in Bloomberg is responsible for the storage, analysis, calculations, distribution, search, and screening of critical financial data. We absorb billions of data points from hundreds of financial markets every single day and build systems that fuel the markets by providing intelligent analytics and transparency to level the playing field. Our systems are high performance and designed to be distributed and scalable, to cater to the ever-increasing demand on financial data and analytics. The goal of the group is to add value to financial data and reduce the time it takes for Bloomberg clients to make an investment decision by analyzing the data, extracting and aggregating relevant information, and to build platforms to make the enrichments available at scale to a variety of Bloomberg systems for client consumption. We share a passion for solving today’s problems by innovating for tomorrow.
As a Senior Backend Engineer, you will be responsible for writing high performance, efficient, and scalable code using proprietary and open source technologies to develop large-scale systems. You will get a chance to develop and enhance high throughput data systems, macro and micro analytic engines, search, calculations, and scalable systems that cater to billions of requests per day.
You’ll get opportunities to solve difficult large-scale problems that will help you grow your technical knowledge and skill-set
You’ll learn how some of the financial world’s most sophisticated professionals do their job and what role Bloomberg plays in it
You’ll develop expertise in industry standard SDLC tools and processes and act as a champion for good software practices within your team
You’ll establish relationships across Bloomberg by working closely with and learning from the specialists in our product development, data, and client support departments
You’ll gain market knowledge in financial domains
You’ll need to have:4+ years of experience:
Knowledge of object-oriented design, data structures, algorithms and all phases of software development. This experience can be in any object-oriented language, but open to working with C++ and Python.
An aptitude for analytical problem solving
Experience in delivering production quality systems to clients
Bachelor’s degree in computer science or a related field, and/or related professional experience
We’d love to see:Financial domain knowledge and experience; or the willingness to learn
Project leadership experience
Working experience in an Agile environment
Functional understanding of complex distributed systems architecture, high performance systems, scalable platforms, search databases, point-in-time historical data systems, macro and micro analytics, data query and manipulation languages, and time series analytics
Familiarity with or working knowledge of Python, C++, Apache Solr, PostgreSQL, Cassandra, Hbase, Kafka, Microservice Based Architecture
If this sounds like you, apply! We’ll get in touch if we believe you’re a good match and get started with a technical phone interview. Some of the different areas within Financial Data & Calcs that you can join include:
The Multi-Asset Data & Analytics group handles data modeling, processing, and delivery at scale. We store and analyze critical data for financial institutions, including hedge funds and ETFs. Our systems help clients analyze market trends, compare companies and investors, and refine investment ideas. Clients can access analyst predictions, investment details, and build custom models using thousands of characteristics, with backtesting capabilities against historical benchmarks.
The Core Securities group serves financial professionals with analytics and data across Equities, Futures & Options, Currencies (including Cryptocurrencies), Corporate Actions, and Commodities. Our scalable systems handle over 100 billion daily API requests, providing seamless access to core reference and pricing data. We stay ahead of market trends, rapidly adapting to emerging products and empowering clients to make informed data-driven decisions.
The Company Data & Calcs group owns the company concept and data model at Bloomberg. We design pipelines, storage models, and APIs to provide clients with robust quantitative financial data used for analytics and research on companies. Our comprehensive suite of company data ranges from historical financials to the future projections. We collaborate closely with other teams to link, combine, and aggregate datasets enabling external and internal clients to use our data and build applications that provide transparent insights into a company’s value and trends.
The Macro Data, Calcs & Pricing group is responsible for the ingestion, curation, persistence, analysis, and distribution of economics, commodities, foreign exchange, and geospatial data. We are responsible for datasets such as weather, for which we receive one billion daily data points, power, geospatial data including cargo vessels, and economics data such as GDP and CPI (inflation) numbers. Our group is also responsible for pricing commodities and foreign exchange instruments. Our pricing engines are at the heart of Bloomberg and ensure performant and accurate pricing. We build and own low latency, high-throughput distributed systems that handle billions of data points daily.
Salary Range = 160000 - 240000 USD Annually + Benefits + BonusThe referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.