1

Internship Algorithmic Trading Jobs in Washington

Internship Algorithmic Trading information

What are the key skills and qualifications needed to thrive as an Internship Algorithmic Trading, and why are they important?

To thrive as an Algorithmic Trading Intern, you need strong quantitative skills, proficiency in programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by coursework in mathematics, statistics, finance, or computer science. Familiarity with trading platforms, data analysis tools like MATLAB or R, and sometimes experience with version control systems or Bloomberg Terminal, is highly beneficial. Analytical thinking, attention to detail, and effective communication help interns contribute meaningfully to team projects and adapt quickly in fast-paced environments. These skills enable interns to analyze large datasets, develop trading algorithms, and collaborate efficiently, all of which are crucial for success in algorithmic trading.

What kinds of projects or tasks can I expect to work on as an Algorithmic Trading intern?

As an Algorithmic Trading intern, you'll likely be involved in tasks such as data collection and cleaning, backtesting trading strategies, and assisting with the development or enhancement of trading algorithms. You may work closely with quantitative analysts and traders to analyze market trends, evaluate performance metrics, and optimize models. Interns often gain hands-on exposure to programming languages like Python or C++, and collaborate within a fast-paced, team-oriented environment where communication and problem-solving skills are highly valued.

What are internship algorithmic trading positions?

Internship algorithmic trading positions are short-term roles, often offered to students or recent graduates, where individuals learn about and assist in developing, testing, and implementing automated trading strategies using computer algorithms. Interns typically work with quantitative analysts, traders, and software engineers to analyze market data, backtest strategies, and optimize trading models. These internships provide hands-on experience with programming, financial markets, and quantitative analysis, serving as a valuable stepping stone for a career in quantitative finance or trading.

What is the difference between Internship Algorithmic Trading vs Internship Quantitative Analysis?

AspectInternship Algorithmic TradingInternship Quantitative Analysis
Required CredentialsStrong programming skills, basic finance knowledge, often pursuing degrees in finance, computer science, or engineeringMathematical and statistical skills, degrees in mathematics, statistics, or related fields, programming skills beneficial
Work EnvironmentFast-paced trading firms, hedge funds, or proprietary trading desksFinancial institutions, research firms, or investment banks
Employer & Industry UsageCommon in trading firms and hedge funds focused on developing trading algorithmsUsed across finance sectors for data analysis, model development, and research

Internship Algorithmic Trading focuses on developing and implementing trading algorithms, requiring programming and finance knowledge. Internship Quantitative Analysis emphasizes data analysis and statistical modeling to inform investment decisions. Both roles involve quantitative skills but differ in their primary focus and work environment.

What are the most commonly searched types of Algorithmic Trading jobs in Washington? The most popular types of Algorithmic Trading jobs in Washington are:
What job categories do people searching Internship Algorithmic Trading jobs in Washington look for? The top searched job categories for Internship Algorithmic Trading jobs in Washington are:
What cities in Washington are hiring for Internship Algorithmic Trading jobs? Cities in Washington with the most Internship Algorithmic Trading job openings:
Dat Science/AIML Engineering Summer Intern

Dat Science/AIML Engineering Summer Intern

QinetiQ

Fort Belvoir, VA • On-site

$19 - $24.50/hr

Temporary, Internship

This job post has expired today. Applications are no longer accepted.


Job description

Company Overview
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview
QinetiQ US is seeking a motivated undergraduate student currently pursuing a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a closely related STEM discipline to join our Signal & Image Processing team for a summer internship at Fort Belvoir, Virginia.
This is a hands-on, onsite internship with no remote work option. The selected intern must be available to work a minimum of 8 consecutive weeks during the summer.
The intern will gain real-world experience supporting the design, development, testing, and evaluation of advanced AI/ML algorithms and Hardware integration of UAV UGV for Aided Target Recognition (AiTR applications. This is an excellent opportunity for students looking to apply classroom knowledge to cutting-edge defense technology programs in a collaborative, multidisciplinary engineering environment
Responsibilities
  • Assist senior engineers and scientists in the research, development, and prototyping of advanced optical materials, components, assemblies, and subassemblies for imaging and non-imaging systems
  • Support hands-on laboratory activities including assembly, alignment, calibration, and testing of UAV/UGV platforms
  • Assist with technology trade studies, optical design and performance modeling, and fabrication tolerance analysis under the guidance of experienced staff
  • Support the research and development of AiTR algorithms and AI/ML software pipelines
  • Assist in building prototypes and assessing AiTR systems in a laboratory environment
  • Support laboratory testing, characterization, and field testing of advanced EO/IR camera sensors operating in Ultraviolet, Visible, NIR, SWIR, MWIR, and LWIR wavebands, including multi-band camera sensors
  • Support documentation efforts, including contributing to Scientific and Technical Reports and test data collection
  • Participate in design reviews and team meetings, gaining exposure to the full engineering lifecycle from concept through prototype
  • Perform other duties as assigned in support of the AiTR Algorithm mission areas

Required Qualifications
  • Currently enrolled in and actively pursuing a Bachelor's degree in Optical Engineering, Electrical Engineering, Computer Science, Physics, Materials Science, or a closely related STEM discipline (sophomore, junior, or senior standing preferred)
  • Coursework in optics, physics, electro-magnetics, or related subjects
  • Strong interest in AI/ML, robotics, photonics, imaging systems, and/or electro-optical technologies
  • Ability to work onsite at Fort Belvoir, Virginia for a minimum of 8 consecutive weeks during the summer
  • Strong written and verbal communication skills
  • Ability to work collaboratively in a multidisciplinary team environment
  • Attention to detail and willingness to learn in a hands-on laboratory setting
  • Must be a U.S. Citizen and able to obtain a DoD Secret clearance (or have an active clearance)

Preferred Qualifications
  • Completed coursework or lab experience in AI/ML algorithms
  • Familiarity with MLOPs pipelines
  • Familiarity with Python, MATLAB, or similar data acquisition and analysis tools
  • Hands-on experience in a laboratory, machine shop, or maker space environment
  • Interest in or exposure to infrared imaging, electro-optical systems, robotics, or defense applications
  • Prior internship or co-op experience in an engineering or scientific environment

Company EEO Statement
Accessibility/Accommodation:
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.