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Internship Otc Trader Jobs (NOW HIRING)

SAP SD / OTC Solutions Architect

New York, NY · On-site

$90 - $121.25/hr

... trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while ... The Company does not provide benefits directly to contingent workers/contractors and interns.

Intern

New York, NY · On-site

$16.50 - $22/hr

Interns join a business that sits at the heart of the financial system. Our Global Broking division ... OTC data, and home to an award-winning all-to-all trading platform. Your Experience As a Global ...

Internship Otc Trader information

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$9

$17

$23

How much do internship otc trader jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for internship otc trader in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
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What states have the most Internship Otc Trader jobs? States with the most job openings for Internship Otc Trader jobs include:
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Infographic showing various Internship Otc Trader job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Product Manager - OTC Derivatives --Enterprise Data Product

Product Manager - OTC Derivatives --Enterprise Data Product

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 245 rated software companies


Job description

Product Manager - OTC Derivatives --Enterprise Data Product
Location
New York
Business Area
Product
Ref #
10052578
Description & Requirements
We are Bloomberg Enterprise Data - fast paced, innovative, and growing. We partner closely with our clients to understand their businesses, data requirements, and financial technology needs. Our broad range of datasets, delivery channels, APIs, and cloud-enabled solutions enables clients to access the data they need, when they need it, and in the format that best supports their workflows.
OTC derivatives are a core growth area for Enterprise Data. Our pricing, valuation, and reference data across rates, credit, FX, and equity derivatives complements Bloomberg's public markets content and supports clients through the full trade lifecycle - from pre-trade analysis and valuation to risk, collateral, and regulatory reporting.
We are seeking a Product Manager to grow Bloomberg's OTC derivatives data business. You will define and execute the product strategy for derivatives data across swaps, swaptions, structured products, and related instruments, building solutions that serve buy-side, sell-side, and service-provider clients.
We'll Trust You To
• Be the subject matter expert for Bloomberg's OTC derivatives data products - coverage, quality, usability, and the use-cases the data serves.
• Define and execute the product roadmap for OTC derivatives data across rates, credit, FX, and equity derivatives, prioritizing initiatives that drive measurable revenue and adoption.
• Develop datasets spanning reference data, research, regulatory, risk and sustainability data, addressing client needs across the trade lifecycle.
• Partner with clients to understand their trading, valuation, risk, collateral, and regulatory reporting workflows, and translate these into data requirements.
• Work with Sales and Marketing to drive adoption and attain commercial outcomes.
• Manage product specification, prioritization, and backlog through an agile process, collaborating with Data, Engineering, and Client Solutions.
You'll Need to Have
• 5+ years in product management, or equivalent, within financial data, analytics, or investment technology.
• Strong knowledge of OTC derivatives across at least two of: rates, credit, FX, and equity derivatives - including how these instruments are traded, risk-managed, and marked to market.
• Understanding of the derivatives trade lifecycle across buy-side and sell-side.
• Familiarity with how enterprise clients identify and evaluate datasets
• Working knowledge of AI, automation, and agentic approaches, with the ability to apply them to financial data products.
• Experience delivering product outcomes through an agile process with cross-functional stakeholders.
We'd Love to See
• Hands-on experience with derivatives pricing or valuation data from leading providers.
• Proficiency with Python, SQL, or other data science tools.
• Familiarity with curve and volatility surface construction, or derivatives valuation methodologies.
• Exposure to regulatory reporting frameworks (UPI, CDM, EMIR, Dodd-Frank).
• Experience with cloud-based data delivery or modern enterprise data platforms
Salary Range = 140,000 - 295,000 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.
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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