Quantitative Researcher [Multiple Positions Available]

JPMorgan Chase & Co.•New York, NY

9h•$300,000 - $350,000•Onsite

About The Position

JPMorgan Chase is seeking Quantitative Researchers to develop proprietary financial models, execute electronic trading for the agency desk, and provide analytics to gain a competitive advantage. The role involves generating trade signals, suggesting investments, optimizing risk management through hedge analysis, and performing transaction analysis to support business decisions. Responsibilities also include relative value analysis between bonds, designing tools for operational efficiency, enhancing systematic trading systems, and leading a globally distributed team in financial analysis and trading tool development.

Requirements

Bachelor's degree in Information Systems, Software Engineering, Computer Science or related field of study.
10 years of experience in the job offered or as Quantitative Researcher, Software Engineer, Application Developer, Project Engineer, or related occupation.
Ten (10) years of experience with writing python program to produce real time price for Agency Mortgage Backed Securities that can be used by Traders directly.
Ten (10) years of experience with producing appropriate price, yield, accrual interest, duration, convexity and relevant analytics, matching the standards used by major financial companies, with numerical results tied to those found in Bloomberg.
Ten (10) years of experience with writing C# program for institutional level financial application with interactive screen and asynchronous calculation messages.
Ten (10) years of experience with developing systems in enterprise level Software Development Life Cycle process, with centralized source control repository including cvs, and github, and robust cross team commit, review and regression processes.
Ten (10) years of experience with writing Excel VBA to model complex Agency Mortgage Backed Securities bond calculation function that could be integrated into trader's Excel tools.
Nine (9) years of experience with utilizing Intex Deal Maker (Mortgage Industry standard tool) to model deal payment structures representing contract negotiated between buyer and seller.
Nine (9) years of experience with producing cashflow and analysis conforming to pricing convention and settlement mechanism in Agency To Be Announced (TBA) market, producing TBA roll analysis for Freddie Mac, Fannie Mae, Gennie Mae mortgages.
Nine (9) years of experience with writing C++ program for high performance analytical engine, with low latency on network messages for real time pricing.
Nine (9) years of experience with writing cashflow engine for Agency Mortgage Pools as well as for Agency Collateralized Mortgage Obligation Interest Only Bonds, Principal Only Bonds, Targeted Amortization Class, Planned Amortization Classes.
Three (3) years of experience with writing python program to connect to London Stock Exchange's YieldBook API (Agency Mortgage-Backed securities industry standard) for generating market prepayment and duration analysis.
Three (3) years of experience with writing python program to connect to Bloomberg API generating market agreed price, yields, duration and convexity for Agency Mortgage- Backed securities.

Responsibilities

Develop proprietary financial models to deliver accurate analytics and provide the business with a competitive advantage in the market.
Execute electronic trading for JPMC's agency desk, generating trade signals and investment suggestions to enhance profit margins.
Provide hedge analysis to optimize risk management strategies.
Provide timely, on-demand transaction analysis to support business decision-making processes.
Perform institutional-level relative value analysis between bonds, to identify and evaluate investment opportunities.
Design and implement tools to improve operational efficiency and workflow processes for the trading desk.
Develop and enhance in-house systematic trading systems aimed at improving the overall client experience.
Lead a globally distributed team in delivering comprehensive financial analysis and trading tools, promoting cross-functional collaboration and innovation.