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Quick apply
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Internship Bloomberg Software Engineer information
See Edison, NJ salary details
$13.94 - $16.31
5% of jobs
$16.31 - $18.69
7% of jobs
$21.01 is the 25th percentile. Wages below this are outliers.
$18.69 - $21.06
13% of jobs
$21.06 - $23.44
9% of jobs
The median wage is $25.35 / hr.
$23.44 - $25.81
19% of jobs
$25.81 - $28.19
18% of jobs
$28.78 is the 75th percentile. Wages above this are outliers.
$28.19 - $30.56
14% of jobs
$30.56 - $32.94
7% of jobs
$32.94 - $35.31
4% of jobs
$35.31 - $37.69
0% of jobs
$37.69 - $40.07
3% of jobs
$13
$26
$40
How much do internship bloomberg software engineer jobs pay per hour?
What does a Bloomberg software engineer intern do?
What types of projects do Bloomberg software engineer interns typically work on, and how are these projects structured to support learning and impact?
What are the key skills and qualifications needed to thrive as a Bloomberg software engineer intern, and why are they important?
What is the difference between Internship Bloomberg Software Engineer vs Bloomberg Software Engineer?
| Aspect | Internship Bloomberg Software Engineer | Bloomberg Software Engineer |
|---|---|---|
| Required Credentials | Currently enrolled in a related degree program, some coding experience | Bachelor's or higher in Computer Science or related field, professional experience preferred |
| Work Environment | Internship program, mentorship, learning-focused | Full-time, collaborative, fast-paced professional setting |
| Employer & Industry Usage | Part of Bloomberg's internship initiatives, industry standard for finance tech internships | Core software development role within Bloomberg, finance and data services industry |
The main difference between an Internship Bloomberg Software Engineer and a Bloomberg Software Engineer is the level of experience and responsibility. Internships are designed for students gaining industry exposure, while full-time software engineers hold permanent roles with greater responsibilities and expectations.
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 12 days ago
Bloomberg rating
9.4
Based on 11 frontline employees who took The Breakroom Quiz
11th of 247 rated software companies
Job description
Location
New York
Business Area
Product
Ref #
10051690
Description & Requirements
The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services.
The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems.
The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices.
We'll trust you to:
- Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible.
- Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility.
- Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior.
- Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate.
- Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects.
- Proactively engage stakeholders from a variety of backgrounds.
- Understand, document and communicate sometimes quite complex requirements.
- Context switch between strategic projects and urgent support requests.
- Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns.
You'll need to have:
- 7+ years of full software development life-cycle experience.
- Demonstrable proficiency with C++.
- Experience designing effective APIs.
- Knowledge of Python or other scripting languages.
- Knowledge of financial products such as derivatives, interest rates, or equity markets.
We'd love to see:
- Experience mentoring and coaching other team members.
- Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml.
- Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc.
- A keen interest in developing skills in these areas.
Salary Range = 160,000 - 250,000 USD Annual + Benefits + Bonus
The 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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
What Bloomberg employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Bloomberg
Sourced by ZipRecruiter
Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1981