Quantitative Developer, Market Risk

P2P; New York (NY); On-site; USD 150,000 - 175,000; Full time

Job summary

A leading company in the trading sector seeks a Quantitative Developer in New York to enhance market risk management through innovative software solutions. The role requires strong programming skills and financial knowledge, focusing on developing workflows and conducting empirical research.

Benefits

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D Insurance

Paid vacation plus paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Qualifications

• 3-6 years of relevant markets-facing technical experience required.
• Strong programming experience in Python with common packages.
• Experience in working with data at scale.

Responsibilities

• Improve capabilities to monitor and hedge market risk.
• Create pricing and risk workflows for asset classes.
• Conduct empirical research on asset returns.

Skills

Programming in Python

Empirical research

Strong communication skills

Data management at scale

Education

Bachelors or Masters in Financial Engineering, Finance, or Statistics

CFA Charter holder or equivalent

Tools

Pandas

Polars

Numpy

Scipy

Job description

Jump Trading’s Risk team manages risk globally for all trading teams and is responsible for evaluating the many facets of risk across trading strategies, markets and products. One facet of risk that the firm manages is market risk.

As a Quantitative Developer you will deploy your experience in markets, quantitative approaches and software development to improve the firm's capabilities to monitor, manage and actively hedge market risk across a spectrum of businesses spanning asset classes, regions and trading horizons. Some examples include creating pricing and risk workflows for a new asset class, conducting empirical research on asset returns and relationships and deploying compute workflows at scale. This role requires both the nimbleness to quickly attack new business needs as well as the thoughtfulness to organize and deploy data, compute, visualization and decision-making workflows at a very large scale. The team is looking for someone who is passionate about the interplay between markets and technology, is committed to maintaining a high bar for code, demonstrates intellectual curiosity and is comfortable challenging the status quo with both humility and clear communication. If you have an interest in scaling your blend of existing experience in the markets and quantitative development in a growing and entrepreneurial team, please reach out!

Skills You'll Need:

• At least 3-6 years of relevant markets-facing technical experience required
• Strong programming experience in Python along with common packages such as Pandas, Polars, Numpy, and Scipy
• CFA Charter holder or equivalent foundational financial markets knowledge at a minimum
• Bachelors or Masters degree in Financial Engineering, Finance and/or Statistics Direct experience in working with at least one financial asset class in pricing, risk, or empirical research
• Practical experience in working with data at scale (whether daily or intraday)
• Experience in CI/CD frameworks Great written and verbal communication skills – good at ELI5
• Self-directed and able to take ownership of projects and responsibilities
• Experience in having to learn something substantial from scratch while on the job

Bonus Points:

• Experience in working within a full-stack function spanning data, technology, and markets
• Experience in development within a distributed Linux environment
• Familiarity with C++

Benefits

- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs

Annual Base Salary Range

$150,000—$175,000 USD