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Fixed Income Derivatives Jobs (NOW HIRING)

eClercx

Operations Manager

Salt Lake City, UT · On-site

$100K - $125K/yr

Own the firm's global Records Retention Schedule (RRS) for capital markets, covering equities, fixed income, derivatives , structured products, prime brokerage, repo/reverse repo, and securities ...

VDart Inc.

Trade Processing - Analyst

Boston, MA · On-site

$55K - $60K/yr

Ensure accurate trade capture, validation, and settlement across asset classes (equities, fixed income, derivatives, FX). * Perform daily reconciliations and resolve breaks with custodians, brokers ...

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Fixed Income Derivatives information

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$43.5K

$108.7K

$195K

How much do fixed income derivatives jobs pay per year?

As of Aug 3, 2026, the average yearly pay for fixed income derivatives in the United States is $108,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $131,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working in Fixed Income Derivatives, and how can candidates prepare for them?

Professionals in Fixed Income Derivatives often face challenges related to rapidly changing market conditions, complex valuation models, and regulatory requirements. To succeed, candidates should be comfortable with quantitative analysis, stay updated on market trends, and be proactive in learning about new regulatory changes. Collaboration with traders, risk managers, and IT teams is essential for managing risk and developing effective strategies. Gaining hands-on experience with relevant pricing tools and maintaining strong communication skills will help you thrive in this fast-paced environment.

What is the difference between Fixed Income Derivatives vs Fixed Income Analysts?

AspectFixed Income DerivativesFixed Income Analysts
Primary FocusDeveloping, pricing, and managing derivatives tied to fixed income securitiesAnalyzing fixed income securities and market trends to provide investment insights
Required SkillsQuantitative analysis, derivatives pricing, risk managementCredit analysis, market research, financial modeling
Work EnvironmentTrading desks, risk management teams, investment banksResearch departments, asset management firms, banks
CertificationsFRM, CFA, derivatives certificationsCFA, CPA, or related financial certifications

Fixed Income Derivatives professionals focus on creating and managing derivative products linked to fixed income securities, emphasizing quantitative skills and risk management. Fixed Income Analysts primarily analyze securities and market data to guide investment decisions. While both roles require strong financial knowledge, derivatives specialists are more involved in product development and trading, whereas analysts focus on research and valuation.

What are fixed income derivatives?

Fixed income derivatives are financial contracts whose value is derived from underlying fixed income securities, such as bonds or interest rates. Common examples include interest rate swaps, credit default swaps, and bond futures. These instruments are used by investors and institutions to manage risk, hedge exposures, or speculate on movements in interest rates and credit spreads. They play a crucial role in modern financial markets by providing tools for risk management and price discovery.

Is derivatives a good career?

Fixed Income Derivatives is a specialized field within finance that involves managing and trading interest rate, credit, and other fixed income securities using derivatives such as swaps and options. It requires strong quantitative skills, knowledge of financial markets, and often a certification like CFA or FRM. Careers in this area can be rewarding for those interested in complex financial instruments and market analysis, but they also demand high technical expertise and can involve long hours.

What are the key skills and qualifications needed to thrive as a Fixed Income Derivatives Specialist, and why are they important?

To excel as a Fixed Income Derivatives Specialist, you need a strong background in finance, quantitative analysis, and risk management, often supported by a relevant degree such as finance, mathematics, or economics. Familiarity with financial modeling tools like Excel, Bloomberg Terminal, and programming languages such as Python or VBA is highly valuable, as are certifications like CFA or FRM. Exceptional analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These capabilities are crucial for accurately pricing derivatives, managing risk exposures, and making informed trading or investment decisions in a complex, fast-moving market.

How much do fixed income traders make?

Fixed income traders typically earn a base salary ranging from $70,000 to $150,000 annually, with total compensation often including bonuses that can significantly increase earnings, especially for experienced traders at large financial institutions. Compensation varies based on experience, performance, and the firm’s size, with senior traders earning well over $200,000 including bonuses.

What is a fixed income derivative?

A fixed income derivative is a financial instrument used by fixed income professionals to manage interest rate risk, hedge bond portfolios, or speculate on interest rate movements. Common types include interest rate swaps, options, and futures, which require knowledge of derivatives pricing and risk management tools. These instruments are traded in financial markets and often involve complex valuation models.

What jobs make $1,000,000 a year?

In fixed income derivatives, senior roles such as head traders, senior portfolio managers, or chief investment officers at major financial institutions can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require extensive experience, advanced quantitative skills, and often professional certifications like CFA or FRM. Compensation varies based on performance, firm size, and market conditions.
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Fixed Income Derivatives jobs near you
Infographic showing various Fixed Income Derivatives job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 52% Physical, 11% Hybrid, and 37% Remote job distribution, with an average salary of $108,695 per year, or $52.3 per hour.

VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income

TWG Global AI

New York, NY • On-site

Full-time

Re-posted 29 days ago

Job description

The Organization  

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. 

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. 

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. 

The Role

As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for designing and deploying production AI systems that power investment banking and capital markets workflows across the enterprise. Reporting to the Executive Director of AI, you will play a critical role in building AI-powered products that deliver measurable business outcomes for senior stakeholders including Managing Directors and portfolio managers.  

You will bridge AI engineering and capital markets, combining deep understanding of investment banking valuation, fixed income markets, and credit analysis with hands-on ability to build and ship LLM-powered products at speed. You will have direct visibility to senior business stakeholders, translating complex business workflows into working AI systems.  

This is a hands-on individual contributor role: you will spend the majority of your time designing, building, and shipping systems, while acting as a technical thought leader who helps shape the direction of the organization's AI investments and fosters a culture of rapid iteration, rigorous evaluation, and responsible AI.  

Key Responsibilities: 

  • Design and deploy AI systems that automate high-impact investment banking and capital markets workflows-compressing multi-hour analytical tasks into minutes while meeting the accuracy, auditability, and reliability standards of front-office users.  
  • Build and own production LLM pipelines end-to-end: structured extraction from complex financial documents, retrieval-augmented generation, multi-step orchestration, and structured output parsing.  
  • Evaluate and champion emerging AI techniques and tools (e.g., agentic workflows, LLM evaluation frameworks, vector databases, RAG architectures) through hands-on prototyping, benchmarking, and iterative deployment.  
  • Partner with AI researchers, data scientists, and domain experts to translate experimental models into production-ready systems-hardening prototypes for latency, cost, accuracy, and reliability while generalizing solutions across multiple business domains.  
  • Own the development of reusable AI capabilities and platform components that serve as building blocks for downstream applications across the organization, setting the engineering standards for how AI systems are built, evaluated, and maintained.  
  • Collaborate directly with senior business stakeholders (Managing Directors, portfolio managers, research analysts) to understand workflows, gather feedback, and iterate on AI products that meet practitioner-grade quality standards.  
  • Build AI-driven analytics for fixed income and credit markets that fuse quantitative signals with unstructured data-turning market data, filings, and research into decision-ready insight for investment professionals.  
  • Mentor engineers and data scientists through design reviews, code reviews, and hands-on pairing-raising the bar for technical excellence and engineering rigor across the team.  

Requirements

Qualifications: 

  • 8+ years of experience building and deploying software or ML systems in production environments, with significant experience in financial services-preferably investment banking, asset management, fixed income, or credit markets.  
  • Proven track record of leading AI/ML projects from ideation to production, including cross-functional collaboration, technical ownership, and direct engagement with business stakeholders.  
  • Hands-on experience building production LLM applications: prompt engineering, orchestration (e.g., multi-agent systems, chained workflows), retrieval-augmented generation, structured output parsing, and evaluation pipelines.  
  • Deep expertise in at least one of: supervised/unsupervised learning, statistical modeling, NLP, or information extraction from unstructured documents.  
  • Strong foundation in investment banking and capital markets concepts-including valuation methodologies (DCF, comps, precedent transactions), credit analysis, fixed income analytics, and financial statement interpretation.  
  • Proficiency in Python, along with modern AI/ML tools (e.g., PyTorch, scikit-learn, LangChain/LangGraph, vector databases, LLM APIs), with working knowledge of MLOps practices (CI/CD, model monitoring, evaluation) and cloud infrastructure (AWS, GCP, or similar).  
  • Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions and present directly to senior financial services stakeholders.  
  • Master's or PhD in Computer Science, Machine Learning, Statistics, Financial Engineering, or a closely related discipline preferred.  

Preferred Qualifications:  

  • Hands-on experience with enterprise data and AI platforms (e.g., Palantir Foundry or similar)-including developing, deploying, and integrating AI solutions within an integrated data ecosystem.  
  • CFA or FRM certification.  
  • Prior experience in a client-facing capacity within financial services.  

Benefits

Position Location 

This is a hybrid position based out of our New York, NY office.

Compensation

The base pay for this position is $290,000-300,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. 

TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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