ZipRecruiter

Log In

2

Remote Quant Intern Jobs in Virginia (NOW HIRING)

People also search for

All JobsRemote Quant Intern JobsRemote Quant Intern Jobs in Virginia

Remote Quant Intern information

What are the key skills and qualifications needed to thrive as a Remote Quant Intern, and why are they important?

To thrive as a Remote Quant Intern, you generally need strong quantitative skills, proficiency in mathematics or statistics, and enrollment in or completion of a relevant degree program such as finance, math, or computer science. Familiarity with programming languages like Python, R, or MATLAB, as well as experience using statistical and data analysis tools, is typically required. Outstanding problem-solving abilities, self-motivation, and effective communication are crucial soft skills for success in a remote setting. These skills and qualities are important because they enable interns to analyze complex data, collaborate virtually with teams, and contribute valuable insights to quantitative projects.

How do Remote Quant Interns typically collaborate with full-time team members and mentors despite working off-site?

Remote Quant Interns usually stay connected with their teams through daily or weekly virtual meetings, utilizing platforms like Zoom, Slack, or Microsoft Teams. Collaboration often involves sharing code, data analysis results, or research findings via version control systems and cloud-based tools. Interns are encouraged to proactively seek feedback, participate in online brainstorming sessions, and attend virtual seminars or company events to build relationships and stay engaged with mentors and peers. Effective communication and responsiveness are key to overcoming the challenges of remote work and ensuring successful integration into the team.

What are Remote Quant Interns?

Remote Quant Interns are students or recent graduates who work virtually for financial firms or tech companies in quantitative roles. Their primary responsibilities include analyzing data, developing mathematical models, and assisting in algorithmic trading or risk management, all while working from a location outside the physical office. They typically use programming languages like Python or R and work on projects related to finance, statistics, or data science. This role offers flexibility and exposure to real-world quantitative challenges without the need to relocate. Remote Quant Internships are often stepping stones to full-time quantitative analyst or researcher positions.

What is the difference between Remote Quant Intern vs Quant Analyst?

AspectRemote Quant InternQuant Analyst
Required CredentialsTypically pursuing or recent graduate in Math, Finance, or related fieldBachelor's or Master's in Quantitative Finance, Math, or related field; often requires some experience
Work EnvironmentRemote, internship setting, often part-time or seasonalFull-time, often in-office or hybrid, but increasingly remote
Employer & Industry UsageFinancial firms, hedge funds, asset management companiesFinancial institutions, hedge funds, investment banks

The Remote Quant Intern role is an entry-level, temporary position ideal for students or recent graduates gaining initial experience. In contrast, a Quant Analyst is a full-time professional role requiring more experience and advanced skills. Both roles are common in finance and investment sectors, but the intern position offers a stepping stone into the industry.

What are popular job titles related to Remote Quant Intern jobs in Virginia? For Remote Quant Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Quant Intern jobs in Virginia look for? The top searched job categories for Remote Quant Intern jobs in Virginia are:
What cities in Virginia are hiring for Remote Quant Intern jobs? Cities in Virginia with the most Remote Quant Intern job openings:
Remote Quant Intern jobs near you
Oceanographic Lidar Remote Sensing and Field Campaign Internship

Oceanographic Lidar Remote Sensing and Field Campaign Internship

Analytical Mechanics Associates

Hampton, VA • On-site, Remote

Part-time

Medical, Dental, Vision, Retirement

Posted 29 days ago

Job description

Job Description:
We are seeking a highly motivated summer intern to join our team in advancing ocean remote sensing technologies. This internship offers a unique opportunity to work at the intersection of active remote sensing, mathematical modeling, and oceanography. The successful candidate will focus on simulating and analyzing lidar ocean measurements to better understand underwater optical properties, while also providing critical support for upcoming multi-platform field campaigns. This work will directly contribute to our understanding of marine ecosystems and help bridge the gap between in-situ active sensors and global satellite observations, particularly in support of the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission.
This part-time internship lasts up to one year and includes about 10 hours of work per week, offering steady involvement in ongoing projects and meaningful skill development.
Key Responsibilities:
  • Simulation Development: Utilize Monte Carlo programming techniques to develop and refine lidar simulations, modeling the complex propagation of light in the ocean under various environmental and physical conditions.
  • Lidar Data Analysis: Analyze active lidar ocean measurements, with a specific focus on extracting and interpreting backscatter, attenuation, and depolarization data.
  • Field Campaign Support: Actively participate in the planning, logistical preparation, and execution of upcoming field campaigns to gather validation data. Campaigns will involve coordinated aircraft and ship-based deployments, with the primary focus on shipboard operations.

Desired Qualifications & Skills:
  • Quantitative & Coding Proficiency: Strong mathematical foundation and excellent programming skills, with a specific interest or background in developing Monte Carlo simulations.

  • Technical Knowledge: A working knowledge of (or strong academic background related to) using active lidar systems for ocean remote sensing applications.
  • Satellite Mission Familiarity: An understanding of the measurements and capabilities of satellite remote sensors, with particular emphasis on the NASA PACE mission and its ocean color/aerosol objectives.
  • Academic Background: Pursuing a degree in Physics, Mathematics, Computer Science, Engineering, Oceanography, Atmospheric Science, or a related STEM field.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

Apply