Quantitative Researcher [Multiple Positions Available]

JPMorgan Chase & Co.; New York (NY); On-site; USD 300,000 - 350,000; Full time

Job summary

JPMorgan Chase & Co. in New York, NY seeks a senior quantitative software professional to develop proprietary models, execute electronic trading, and deliver hedge and risk analytics for the agency desk. The role includes leading a globally distributed team and building systematic trading tools to enhance client outcomes.

Salary shown is $300,000.00-$350,000.00 per year with full-time status and on-site work at 270 Park Ave, New York, NY 10017.

Qualifications

• 10 years of experience in the job offered or as Quantitative Researcher, Software Engineer, Application Developer, Project Engineer, or related occupation.
• Experience with Python real-time pricing for Agency Mortgage Backed Securities and analytics.
• Experience with C# for institutional financial applications with interactive screens and asynchronous calculations.
• Experience in enterprise SDLC with centralized source control including CVS and GitHub and cross-team governance.
• Experience with Excel VBA modeling for Agency Mortgage Backed Securities calculations.

Responsibilities

• Develop proprietary financial models to deliver analytics for competitive market insight.
• Execute electronic trading for the agency desk and generate signals for profit margins.
• Provide hedge and risk analysis to support decision making.
• Perform institutional-level relative value analysis between bonds.
• Design tools to improve desk efficiency and trading workflows.
• Lead a globally distributed team delivering financial analysis and trading tools.
• Advance in-house systematic trading systems to improve client experience.

Skills

Python

C#

C++

Excel VBA

Bloomberg API

YieldBook API

Intex Deal Maker

Real-time pricing

Education

Bachelor's degree in Information Systems, Software Engineering, Computer Science or related field

Tools

CVS

GitHub

Source control

Job description

DESCRIPTION

Duties: 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.

QUALIFICATIONS

Minimum education and experience required: Bachelor's degree in Information Systems, Software Engineering, Computer Science or related field of study plus 10 years of experience in the job offered or as Quantitative Researcher, Software Engineer, Application Developer, Project Engineer, or related occupation.

Skills Required: This position requires ten (10) years of experience with the following: writing python program to produce real time price for Agency Mortgage Backed Securities that can be used by Traders directly; 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; writing C# program for institutional level financial application with interactive screen and asynchronous calculation messages; 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; writing Excel VBA to model complex Agency Mortgage Backed Securities bond calculation function that could be integrated into trader's Excel tools. This position requires nine (9) years of experience with the following: utilizing Intex Deal Maker (Mortgage Industry standard tool) to model deal payment structures representing contract negotiated between buyer and seller; 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; writing C++ program for high performance analytical engine, with low latency on network messages for real time pricing; 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. This position requires three (3) years of experience with the following: 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; writing python program to connect to Bloomberg API generating market agreed price, yields, duration and convexity for Agency Mortgage- Backed securities.

Job Location: 270 Park Ave, New York, NY 10017.

Full-Time. Salary: $300,000.00-$350,000.00 per year.