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Fixed Income Trading Jobs in California (NOW HIRING)

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Fixed Income Trading information

See California salary details

$42.9K

$107.3K

$192.4K

How much do fixed income trading jobs pay per year?

As of Jul 18, 2026, the average yearly pay for fixed income trading in California is $107,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is the difference between Fixed Income Trading vs Fixed Income Sales?

AspectFixed Income TradingFixed Income Sales
Primary RoleExecuting bond and debt security trades for clients or firmBuilding client relationships and selling fixed income products
Work EnvironmentFast-paced trading floors, financial institutionsClient-facing, relationship management
Required SkillsMarket analysis, trading strategies, quick decision-makingCommunication, client service, product knowledge
CertificationsSeries 7, 63, 65/66 often requiredSeries 7, 63, 65/66 often required

Fixed Income Trading involves executing bond trades and managing market risks, focusing on market strategies and quick decision-making. Fixed Income Sales centers on client relationships and selling fixed income products, emphasizing communication and client service. Both roles often require similar certifications and work within the same industry environment, but their core functions differ significantly.

What is fixed income trading?

Fixed income trading involves the buying and selling of securities that pay fixed interest or dividends, such as government and corporate bonds. Traders in this field analyze economic trends, interest rates, and credit risk to make informed decisions about when to buy or sell these securities. The goal is to generate returns for investors while managing risks associated with interest rate fluctuations and issuer creditworthiness. Fixed income trading can take place in various markets, including over-the-counter and exchange-traded platforms.

What are some common challenges faced by professionals in Fixed Income Trading, and how can they be addressed?

Fixed Income Trading professionals often encounter challenges such as managing interest rate risk, staying updated with rapidly changing market conditions, and ensuring regulatory compliance. Successfully navigating these challenges requires strong analytical skills, real-time market monitoring, and close collaboration with research teams and compliance officers. Building effective communication with sales and portfolio management teams also helps in making informed trading decisions and adapting strategies as market dynamics evolve.

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

To thrive as a Fixed Income Trader, you need a strong understanding of financial markets, fixed income instruments, and quantitative analysis, often supported by a finance degree or relevant certifications such as CFA. Proficiency with trading platforms (e.g., Bloomberg Terminal), risk management systems, and financial modeling tools is essential. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for making informed decisions and managing client relationships. These skills and qualifications are crucial for navigating complex markets, optimizing trade performance, and ensuring compliance in a highly regulated environment.
What are popular job titles related to Fixed Income Trading jobs in California? For Fixed Income Trading jobs in California, the most frequently searched job titles are:
What job categories do people searching Fixed Income Trading jobs in California look for? The top searched job categories for Fixed Income Trading jobs in California are:
What cities in California are hiring for Fixed Income Trading jobs? Cities in California with the most Fixed Income Trading job openings:
Infographic showing various Fixed Income Trading job openings in California as of July 2026, with employment types broken down into 71% Full Time, 24% Part Time, 2% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $107,272 per year, or $51.6 per hour.

Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)

TWG Global AI

Manhattan, NY • On-site

Full-time

Posted 25 days ago


Job description

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, 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.
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 Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across TWG Global's fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.
You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.
Key Responsibilities
  • Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.
  • Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.
  • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.
  • Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.
  • Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
  • Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
  • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
  • Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.
  • Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

Requirements
  • 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance.
  • Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis.
  • Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives.
  • Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function.
  • Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
  • Experience mentoring or leading small, high-performing teams.
  • Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.

Preferred Qualifications:
  • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
  • Familiarity with model risk management and validation standards (e.g., SR 11-7) and establishing standards for reproducibility, experimentation, and responsible AI in a regulated setting.
  • Experience with market and tick data infrastructure, including KDB+/q or similar time series stores.
  • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
  • Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.

Benefits
Position Location
This is an on-site position based in Santa Monica, CA or New York, NY. Relocation support is provided for qualified candidates.
Compensation
The expected base pay for this position is $299,000-390,000. A discretionary bonus will be provided as part of the compensation package, in addition to a 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.