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How much do derivative analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for derivative analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What does a Derivative Analyst do?

A Derivative Analyst evaluates and manages financial derivatives such as options, futures, and swaps. They assess market trends, pricing models, and risk exposure to help institutions optimize hedging and investment strategies. Their role often involves quantitative analysis, financial modeling, and collaborating with traders and risk managers. Strong analytical skills, knowledge of financial instruments, and proficiency in tools like Excel, Python, or SQL are essential for this position.

What are the key skills and qualifications needed to thrive in the Derivative Analyst position, and why are they important?

To thrive as a Derivative Analyst, you need strong quantitative skills, a solid understanding of financial markets, and typically a degree in finance, mathematics, or a related field. Familiarity with financial modeling software, programming languages such as Python or R, and systems like Bloomberg or Reuters is highly valued, along with certifications like CFA or FRM. Attention to detail, analytical thinking, and clear communication are important soft skills for this position. These qualifications enable accurate risk assessment, effective data analysis, and collaboration with team members in fast-paced financial environments.

What are the typical daily responsibilities of a Derivative Analyst?

A Derivative Analyst's daily tasks often include monitoring market trends, analyzing derivatives positions, and preparing reports to support trading or risk management decisions. You’ll regularly use quantitative models and financial software to evaluate portfolio exposures and recommend strategies. Collaboration with traders, portfolio managers, and risk teams is common, as is presenting your insights in meetings or written briefings. The fast-moving nature of the derivatives market often means adapting quickly to new data, ensuring your analyses remain accurate and relevant.
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What cities are hiring for Derivative Analyst jobs? Cities with the most Derivative Analyst job openings:
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Derivative Analyst jobs near you
Infographic showing various Derivative Analyst job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Analyst, Analytics Operations

Wellington Management

Boston, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

About the Role

About The Role
Position Title: Analyst, Analytics Operations
Location: London, UK
Department: Enterprise Data Services
Position Overview
The Analyst will sit within our Enterprise Data Services department and support efforts to ensure the integrity, consistency, and reliability of analytics data across the organization. This role contributes to operational excellence, automation, and data validation initiatives, working closely with IT, Investors, and client-facing teams. The Analyst will be responsible for the accuracy and consistency of Fixed Income and Derivatives analytics data.
Key Responsibilities

  • Support efforts to ensure high standards for analytics data inputs across platforms
  • Assist in developing tools to automate, control, validate, and research data issues
  • Help identify and resolve data quality issues and streamline workflows
  • Participate in team initiatives and knowledge sharing
  • Support the maintenance of robust controls and validation processes
  • Stay informed of industry trends and regulatory requirements
  • Assist in preparing reports on data integrity and operational performance of fixed income and derivatives data
  • Collaborate with key stakeholders on high visibility initiatives
  • Validating data inputs across various asset classes

Qualifications

  • Bachelor's degree in Finance, Mathematics, Computer Science, or related field
  • Experience in Fixed Income and Derivatives Analytics is a must
  • Experience in Python/SQL is preferred
  • Experience with structured finance data is a plus
  • Master's degree or CFA a plus
  • 1-3 years of experience in analytics operations, data management, or a similar role within financial services or technology

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:

USD 80,000 - 150,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.

Base salaryis only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence,paid holidays, volunteer, sick and vacation time)

We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.

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