Senior Equity Options Volatility Trader

Quant Blueprint LLC; New York (NY); On-site; USD 165,000 - 180,000; Full time

Job summary

Quant Blueprint LLC is offering internships in Infrastructure Engineering in New York, NY. Interns will work on technology-critical projects while collaborating closely with senior engineers to enhance their technical skills.

The role involves solving complex problems using software and automation, exploring new technologies, and developing cloud infrastructure. Ideal candidates are committed to continuous improvement and possess strong communication skills.

Qualifications

• Interest in working in a world-class, professional environment.
• Strong verbal and written communication skills.
• Smart, fast-learner, intellectually curious.

Responsibilities

• Contribute to technology-critical projects for an algorithmic trading business.
• Work closely with senior engineers and participate in mentoring.
• Gain experience with multicast market data distribution.

Skills

Problem-solving through software and automation

Distributed computing, including hybrid cloud architectures

Information security

Operating Systems performance tuning

SaaS solution integration

Education

Currently pursuing a degree in Computer Science or related field

Tools

Python

PowerShell

Kubernetes

Job description

Opportunity

PDT Partners – a quantitative investment manager – is seeking talented students for internships focused on Infrastructure Engineering (systems, network, DevOps, infosec, cloud, etc.). Our custom‑designed program enables students to contribute to our technology‑critical, algorithmic trading business while honing their technical skills.

Students will work closely with highly accessible and supportive senior engineers for every project. Mentors are deeply technical hands‑on engineers who provide guidance during the project, and they are available for design sessions, discussions, and learning throughout the program.

Learning & Development

• Faced problems that don't have well‑defined solutions – creativity is essential to come up with the best possible answers, including ones that explore new technologies.
• Learned about the infrastructure needed to support a quantitative trading business.
• Gained experience with multicast market data distribution.
• Analyzed the latency impact of network buffering.
• Applied machine learning to log data sets in order to determine behavioral anomalies.
• Automated the provisioning of cloud infrastructure, including compute, services, and storage.
• Developed GitOps‑driven configuration management for consistent global deployments at scale.
• Added core components to our cloud‑based Kubernetes infrastructure.
• Analyzed alternatives for audio and video conferencing.
• Infrastructure automation with Python, PowerShell, etc.

Ideal Candidates

• Using software and automation to solve problems
• Distributed computing, including hybrid cloud architectures
• Operating Systems, including low‑level performance tuning and analysis
• Global hybrid networking, including automated configuration and packet analysis
• Petascale storage systems
• Information security
• SaaS solution integration

Additional Skills & Attributes

• Interest in working in a world‑class, professional environment
• Smart, fast‑learner, intellectually curious, problem‑solving approach
• Can‑do attitude, with sense of urgency
• Strong verbal and written communication skills
• Committed to improvement and keen to apply constructive feedback
• Excellent academic background from a rigorous and challenging computer science program

Salary

The salary range for this role is between $165,000 and $180,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed‑upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.