Quantitative Developer

Chasepro Talent; New York (NY); Hybrid; USD 100,000 - 150,000; Full time

Job summary

A leading company is seeking a Quant Developer to join their front office Market Quantitative Analysis team. This role involves developing tools for market risk management and collaborating with traders. Candidates should have strong programming skills in Python and C++, along with a PhD or Master’s in a technical field. The position offers a hybrid work environment with three days onsite.

Qualifications

• Over 6 years of experience in quantitative development within the financial industry.

Responsibilities

• Build and maintain production-grade analytical tools for assessing market risk.
• Develop high-quality, well-structured code and contribute to in-house Python libraries.
• Analyze current market risk models and propose enhancements.

Skills

Python

C++

SQL

Communication

Education

PhD or Master’s in a technical discipline

Tools

Git

Bitbucket

pandas

numpy

Angular

Tableau

Job description

Recruitment Lead | Hiring for Fortune 500 | Information and Technology | Work for Top Banking Companies | Career Make-Maker

Job Title: Quant Developer

Location: New York, NY 10013

Hybrid: 3 days onsite

Job Description

The candidate should be highly proficient in programming, with expertise in Python and C++, capable of handling complex programming and system design questions.

The front office Market Quantitative Analysis (MQA) team is seeking a quant developer to support the In-Business Market Risk MQA team. The role involves collaborating with trading and risk managers to develop and maintain tools and infrastructure for managing market risk metrics and capital.

Responsibilities:

1. Build and maintain production-grade analytical tools, applications, and infrastructure, including AI-powered applications, for assessing market risk, stress testing, capital metrics, and developing portfolio hedge strategies.
2. Develop high-quality, well-structured code and contribute to large-scale in-house Python libraries.
3. Analyze current market risk and capital models, collaborate with business and quant teams to propose enhancements.
4. Work with traders, providing cost-benefit analyses and strategic guidance for business prioritization.

Qualifications:

1. Over 6 years of experience in quantitative development within the financial industry.
2. Strong programming skills in Python, experience with Git/Bitbucket, and familiarity with software development principles.
3. Experience with SQL, large datasets, data cleaning, and transformation using Python libraries like pandas and numpy.
4. Knowledge of front-end frameworks like Angular and visualization tools such as Tableau is advantageous.
5. Understanding of market risk metrics like VaR and stress testing is a plus.
6. Excellent communication skills, both written and verbal.

Education:

• PhD or Master’s in a technical discipline such as statistics, mathematics, physics, computer science, quantitative finance, or operations research.

Additional Details

• Seniority level: Associate
• Employment type: Contract
• Job function: Finance
• Industries: Banking, Investment Banking, Financial Services