Jobs

Pricing Direct Evaluator – High Yield Associate
New York, NY, United States, US
·
On-site
·
Full-time
·
2mo ago
Required skills
Python
Excel
Machine Learning
This is an exciting opportunity for someone who is highly motivated to work in an innovation-focused team and to contribute to our Corporate & Investment Bank business.
As a Pricing Direct Evaluator – HY Associate, you will join a revenue-generating team that provides independent pricing and analytics for millions of fixed income and derivative instruments, utilizing real-time market intelligence from buy-side and sell-side market participants. You will play a crucial role in providing accurate and insightful valuations, which are essential for our clients' investment decisions and risk management strategies.
Job responsibilities
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Generate daily valuations of high yield credit products for multiple market closes, entailing start-to-end responsibilities. This includes market data collection and analysis, price generation, quality control, and dealing with client queries.
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Develop and maintain sophisticated models or matrices, aiming to improve pricing and quality control processes. Update data and generate reports via extensive coding in python and or VBA.
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Collaborate with trading desks, market participants, and research teams to enhance market knowledge and understanding of market pricing.
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Address all client concerns daily with an emphasis on providing first-class service and quality, whether via emails, calls, or in-person meetings.
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Explore new areas of product growth with a focus on autonomously developing innovative ideas and solutions.
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Assist teams with presentation materials, slide decks for conferences, webinars and timely execution of ad-hoc projects.
Required qualifications, capabilities, and skills
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2+ years of experience in fixed income.
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Firm understanding of the principles of fixed income, cashflows, various bond and loan types, including convertibles.
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Strong coding skills in python and VBA, advanced excel knowledge.
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Experience using Bloomberg or Reuters Eikon terminals.
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Ability to collect and analyze large amounts of market information, extract its essence, and incorporate the findings into valuation matrices and processes.
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Clear, logical thinker with strong quantitative abilities.
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Ability to thrive in a fast-paced environment of real-time market pressures, remaining focused on client needs.
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Bachelor's degree or higher, ideally in Finance, Accounting, Statistics, Economics, Finance.
Preferred qualifications, capabilities, and skills
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Experience with pricing, evaluating syndicated term loans, private credit, high yield corporates or convertibles, is strongly preferred.
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Familiarity with pricing methodologies and structures of different fixed income instruments (corporate bonds, emerging markets, some securitized products) is ideal.
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Knowledge of various machine learning models and tools is a plus.
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Great communication skills, both oral and written.
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Progress towards CFA helpful, but not immediately required.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
3.8
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
Salary Ranges
41 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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