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Otc Derivative Data Analyst Jobs (NOW HIRING)

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 ... Can be: fixed income cash (bonds), OTC Derivatives (interest rate, commodities, equities, fx ...

... the Data & Analytics division of TP ICAP Group. The business provides clients with unbiased OTC ... Desired * Commercially minded with an interest in derivative market trends and data innovation.

New

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... Derivatives Specific - Has experience in conducting analysiswith expertise in OTC Derivatives ...

Sr Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... OTC derivatives, and various fixed income instruments such as bonds and securitized products • Experience with security reference data management systems (i.e. Eagle RDC) • Experience with vendor ...

Data Analyst

$86K - $138K/yr

S. derivatives markets. We are looking to add a Data Analyst tot he team. In this role, you'll help define data standards, ensure the quality and integrity of market data, collaborate with industry ...

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Otc Derivative Data Analyst information

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$34K

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How much do otc derivative data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for otc derivative data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an OTC Derivative Data Analyst?

OTC Derivative Data Analysts are financial professionals who specialize in collecting, analyzing, and interpreting data related to over-the-counter (OTC) derivative transactions. They work with complex financial instruments such as swaps, options, and forwards that are traded outside of formal exchanges. Their responsibilities often include ensuring data accuracy, monitoring regulatory compliance, producing reports, and providing insights to support risk management and trading strategies. These analysts play a crucial role in helping financial institutions manage and report their OTC derivative exposures.

What are the key skills and qualifications needed to thrive as an OTC Derivative Data Analyst?

To thrive as an OTC Derivative Data Analyst, you need strong quantitative skills, attention to detail, and a background in finance, mathematics, or a related field, often supported by a relevant degree. Familiarity with data analysis tools like Excel, SQL, Python, and financial systems such as Bloomberg or Murex is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help analysts interpret complex data and work with cross-functional teams. These competencies are critical for ensuring accurate trade reporting, risk assessment, and regulatory compliance in complex over-the-counter derivative markets.

What are some typical challenges faced by an OTC Derivative Data Analyst, and how can they be addressed?

One of the main challenges for OTC Derivative Data Analysts is dealing with the complexity and variability of data from multiple sources, as OTC derivatives are often customized and lack standardized reporting formats. Analysts must ensure data accuracy, reconcile discrepancies, and stay updated with regulatory requirements such as EMIR or Dodd-Frank. Collaborating closely with trading, risk, and IT teams is essential for troubleshooting data issues and implementing robust data management solutions. Staying organized and developing strong analytical skills can help manage these challenges effectively.

Product Manager - OTC Derivatives --Enterprise Data Product

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 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 246 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