... Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We offer health ... Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
... Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We offer health ... Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
... Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We offer health ... Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
Quick apply
... Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We offer health ... Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
Quantitative Trading Internship information
What is a quantitative trading internship?
A Quantitative Trading Internship is a temporary position, typically for students or recent graduates, where interns work with quantitative trading teams to analyze financial data, develop trading strategies, and implement algorithms. Interns often use programming languages like Python or C++ and statistical tools to identify patterns in market data. The role offers hands-on experience in financial markets, quantitative research, and trading technology, making it an excellent pathway for those interested in quantitative finance. Interns may also collaborate with traders and researchers, learn risk management concepts, and gain exposure to real-time trading environments.
What are the key skills and qualifications needed to thrive as a quantitative trading intern?
To thrive as a Quantitative Trading Intern, you need strong quantitative skills, proficiency in mathematics or statistics, and a background in finance, engineering, computer science, or a related field. Familiarity with programming languages such as Python, C++, or R, as well as experience with data analysis tools and financial modeling, is highly valued. Analytical thinking, attention to detail, and the ability to work collaboratively under pressure are crucial soft skills. These competencies are essential for efficiently analyzing market data, developing trading strategies, and contributing effectively within a fast-paced trading environment.
What are some typical challenges faced by interns during a quantitative trading internship, and how can they overcome them?
Interns in quantitative trading often encounter challenges such as adapting to fast-paced environments, mastering proprietary trading tools, and bridging the gap between theoretical knowledge and real-world market dynamics. To overcome these, it’s helpful to proactively seek feedback from mentors, collaborate closely with team members, and dedicate time to practicing coding and data analysis skills. Being open to learning from mistakes and asking questions can also accelerate your growth and help you make meaningful contributions during your internship.
What is the difference between Quantitative Trading Internship vs Quantitative Trading Analyst?
| Aspect | Quantitative Trading Internship | Quantitative Trading Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate with strong math, programming, or finance background | Bachelor's or master's in finance, mathematics, or related field; some roles prefer certifications like CFA |
| Work Environment | Internship programs within trading firms, often part-time or summer roles | Full-time position within trading desks or financial firms |
| Employer & Industry Usage | Used by hedge funds, proprietary trading firms, investment banks for training | Used by firms for ongoing trading strategy development and execution |
The main difference is that a Quantitative Trading Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Trading Analyst is a full-time role focused on developing and executing trading strategies. Internships serve as a stepping stone to analyst roles, which require more experience and responsibility.
What are popular job titles related to Quantitative Trading Internship jobs in Oregon?
For Quantitative Trading Internship jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Quantitative Trading Internship jobs in Oregon look for?
The top searched job categories for Quantitative Trading Internship jobs in Oregon are:
What cities in Oregon are hiring for Quantitative Trading Internship jobs?
Cities in Oregon with the most Quantitative Trading Internship job openings:
Full-time
Medical, Dental, Life, Retirement
Re-posted 13 days ago
Job description
The financial industry is growing at a record pace, but our data providers are still stuck in the past - with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.
Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.
We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees.
Responsibilities
Notice about phishing scams
Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.
Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.
Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!
Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.
We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees.
Responsibilities
- Systems and network configuration.
- Bare-metal and containerized application deployment.
- Maintaining large storage clusters.
- Instrumenting performance measurement and alerts.
- Improving systems automation and tooling.
- On-call support.
- Coordinating bulk data delivery to customers and vendor partners.
- Occasional physical infrastructure deliveries and systems provisioning.
- Strong Linux knowledge.
- Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform).
- Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage).
- Basic networking (OSI model, IP protocols, switching/routing).
- Ability to code in Python and write shell scripts.
- DevOps/GitOps mindset.
- Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
- Bachelor's degree in Computer Science or a related field.
- Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available.
- Experience with distributed storage systems (e.g., Ceph).
- Customer support experience and strong problem-solving abilities.
- Prior experience at a trading or fintech firm, or a strong interest in learning fintech.
- Database administration (MySQL, ClickHouse, Redis).
- Cloud engineering basics (AWS, GCP - compute, storage).
- Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor).
- Systems and network tuning.
- Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki).
- Ability to travel to data centers in Portland, New Jersey, or Boston on short notice (within one week).
Notice about phishing scams
Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.
Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.
Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!
About Databento
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Boston, MA, US
Year founded
2019