1

Fixed Income Derivatives Jobs in Springfield, MA

Guides students through computing financial ratios, applying quantitative methods, analyzing fixed income and equity valuation, understanding derivative pricing, and applying the Standards of ...

Guides students through computing financial ratios, applying quantitative methods, analyzing fixed income and equity valuation, understanding derivative pricing, and applying the Standards of ...

Murex Front Office Consultant

Hartford, CT ยท Hybrid

$16.50 - $20.25/hr

... rates derivatives Fixed Income etc * Develop test cases to troubleshoot the system document defective use cases for fixes by developers. Disclaimer: E-Solutions Inc. provides equal employment ...

Fixed Income Derivatives information

See Springfield, MA salary details

$43.3K

$108.3K

$194.3K

How much do fixed income derivatives jobs pay per year?

As of Jun 22, 2026, the average yearly pay for fixed income derivatives in Springfield, MA is $108,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $130,500.00 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.

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.
What are popular job titles related to Fixed Income Derivatives jobs in Springfield, MA? For Fixed Income Derivatives jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Fixed Income Derivatives jobs in Springfield, MA look for? The top searched job categories for Fixed Income Derivatives jobs in Springfield, MA are:

Quantitative AI Engineer

Talcott Financial Group

Hartford, CT โ€ข On-site

$130K - $180K/yr

Full-time

Posted 12 days ago


Job description

Overview:
The centralized Asset Modeling team provides modeling oversight of the company's entire general account portfolio which includes the configuration, validation, valuation and financial projection of fixed income and derivatives in support of the company's financials. Some of our financial reporting includes statements, regulatory filings, internal short and long-term projections, stress testing and M&A activity. The team partners closely with Investments, Trading, ALM, Finance, and Accounting, as well as the liability counterparts in the Actuarial department.
Our Quantitative AI Engineer position will enable asset modeling foundations with hands-on artificial intelligence (AI) engineering strategies for the future of our organization. The strategy will allow us to modernize how Talcott values, projects, and explains its general accounts. The Quantitative AI Engineer will deliver generative and agentic AI capabilities that accelerate model production, automate documentation and controls. They will also provide self-service applications including chat experiences for investments, ALM, finance, and risk users while remaining grounded in fixed income, derivatives, and ALM analytics. This opportunity will sit within the "AI Lab" of the actuarial department while supporting AI-driven business applications, asset modeling, and engineering.
The ideal candidate will work on a hybrid in-office schedule at either our Hartford, CT office or our Charlotte, NC office.
Responsibilities:
Generative & Agentic AI for Business Applications
  • Design and deploy GenAI copilots and agentic workflows for asset modeling, ALM, finance, and risk users, enabling natural-language queries, multi-step model execution, reconciliation, and exception handling.
  • Build self-service chat tools, LLM (large language model) based auto-documentation for governance and audit, AI-assisted reconciliation and anomaly explanation, and RAG (retrieval-augmented generation) solutions grounded in actuarial methods, regulatory guidance, and prior results.
  • Partner with Risk, Compliance, and IT to establish AI governance, safety, validation, and human-in-the-loop controls.
  • Stay up to date with technological advancement in AI tools and applications, and continuous development of potential use cases for the company.

AI/ML for Asset Modeling & Optimization
  • Develop ML (machine learning) models for prepayment, credit migration and defaults
  • Apply Bayesian and ML (machine learning) optimization for SAA, hedging, capital efficiency, and surplus generation
  • Implement anomaly detection for valuation QA and model validation.

Engineering & Production
  • Build and maintain Python services integrating AXIS, KRM, QuantLib, and internal platforms
  • Follow best practices in version control, CI/CD (continuous integration/continuous deployment) and code review
  • Contribute to validation, controls and reconciliation frameworks.

Qualifications:
  • Bachelor's Degree is required with preference for majors in quantitative finance, mathematics, statistics and AI; a Master's Degree is a plus!
  • Minimum of 2 years of experience with AI applications in insurance and investments
  • Strong mathematical and analytical skills with working knowledge of fixed income asset classes, pricing models, complex derivatives, and numerical pricing techniques.
  • Hands-on experience building AI/ML applications in a business setting to include Generative AI, agentic workflows, chat assistants, or production ML
  • Technical experience requirements: Python (strong expertise,) NumPy, pandas, scikit-learn, FastAPI.
  • GenAI / Agentic AI: LLM APIs (OpenAI, Azure OpenAI, Anthropic), prompt engineering, RAG, vector databases, LangChain, LangGraph, Semantic Kernel, AutoGen or similar agent frameworks.
  • ML toolkit: scikit-learn, XGBoost; familiarity with PyTorch or TensorFlow.
  • Quantitative library knowledge: QuantLib familiarity is strongly preferred.
  • Cloud exposure (Azure preferred) for AI services
  • Demonstrated ability to take ownership of processes and drive improvements independently
  • Experience providing project oversight or leading components of projects is a plus
  • Strong communication skills, with the ability to translate complex analysis into clear, actionable insights for senior stakeholders
  • Attention to detail and ability to manage multiple deliverables
  • Strong analytical and problem-solving skills, with demonstrated experience working with complex datasets and reporting frameworks
  • Results-oriented with a demonstrated ability to work under tight deadlines in a high-performance environment.