Analyst
JPMorganChase
New York, NYFresher59m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Machine learningStatisticsExcelStakeholder management
- Nice to have
- ValuationPythonSQLTableau
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Excel37%Stakeholder management33%Statistics9%Machine learning1%of 100 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
- Analyst or Associate role within the High Yield Fixed Income team.
- Revenue-generating team delivering independent pricing and analytics for over 3 million fixed income and derivative instruments, using real-time market intelligence.
- Balanced mix of market monitoring, real-time pricing, model research, and software development.
Key Responsibilities
- Generate daily valuations across multiple market closes:
- Market data collection and analysis
- Price generation
- Quality control
- Responses to client queries
- Monitor markets and produce real-time pricing updates as needed.
- Develop and maintain statistical and machine learning models to improve pricing and quality control processes.
- Build and enhance pricing methodologies, models, and supporting infrastructure to increase valuation accuracy and speed.
- Partner with trading desks, market participants, and research teams to strengthen market knowledge and instrument-level pricing understanding.
- Deliver first-class service by addressing client questions and concerns via email, calls, and in-person discussions.
- Identify and develop new areas of product growth by exploring and testing new ideas independently.
Requirements & Tech Stack
- Solid understanding of fixed income products and data science fundamentals.
- Strong quantitative skills with clear, logical problem-solving ability.
- Strong software development skills in Python and Excel VBA.
- Ability to collect and analyze large volumes of market information and incorporate insights into valuation frameworks and pricing models.
- Working knowledge of machine learning, statistical, and artificial intelligence techniques.
- Ability to perform in a fast-paced environment with real-time market pressures while maintaining accuracy and discipline.
- Strong client focus and ability to manage day-to-day stakeholder interactions effectively.
- Bachelor's degree or higher, ideally in Financial Engineering, Quantitative Finance, Statistics, or Economics.
Preferred Qualifications
- Prior valuation experience in fixed income products (high yield, loans, or other credit products) and/or derivatives.
- Experience working with large financial datasets in Python.
- Familiarity with SQL and/or Tableau/data visualization tools is a plus.
- Familiarity with large language models and AI tools (e.g., Copilot).