As a member of the IDeaS Software Development team our interns will participate in all aspects of ... Model Testing: Assist in the development and testing of predictive models and algorithms. * Quality ...
As a member of the IDeaS Software Development team our interns will participate in all aspects of ... Model Testing: Assist in the development and testing of predictive models and algorithms. * Quality ...
As a member of the IDeaS Software Development team our interns will participate in all aspects of ... Model Testing: Assist in the development and testing of predictive models and algorithms. * Quality ...
As a member of the IDeaS Software Development team our interns will participate in all aspects of ... Model Testing: Assist in the development and testing of predictive models and algorithms. * Quality ...
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?
| Aspect | Internship Algorithmic Trading | Internship Quantitative Analysis |
|---|---|---|
| Required Credentials | Strong programming skills, basic finance knowledge, often pursuing degrees in finance, computer science, or engineering | Mathematical and statistical skills, degrees in mathematics, statistics, or related fields, programming skills beneficial |
| Work Environment | Fast-paced trading firms, hedge funds, or proprietary trading desks | Financial institutions, research firms, or investment banks |
| Employer & Industry Usage | Common in trading firms and hedge funds focused on developing trading algorithms | Used 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.
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Posted 15 days ago
Job description
Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create leading revenue management solutions that accelerate our clients' growth through revenue optimization.
Now we just need you!
** This person must be located in Minnesota**
As a member of the IDeaS Software Development team our interns will participate in all aspects of the software development lifecycle. You will join an autonomous delivery team that is following agile methodologies in actively creating new features to enhance our revenue management products. While on our team, you will have a great opportunity to expand your technical skillset as well as work in an agile environment that believes in test-first, continuous integration and deployment. Your team's code will be built and deployed to serve clients in over 140 countries.
As a Software Development Engineer in Test (SDET), you will be responsible for designing automation frameworks and conducting code reviews or refactoring in various areas of the application, including services, front end, and mobile.
What you'll be doing...
- This is NOT an intern project. You will work with team members around the world to design and test applications.
- Find innovative solutions to real problems for real clients.
- You'll be using some of the following technologies (depending on team placement):
- Cypress
- SQL Server
- MongoDB
- Datadog
- AWS
- API testing
- K6 - Performance
- RabbitMQ
- RestAssured
- MySQL
- Mobile testing tools IOS/Appium
- Selenium
- SAS Analytics
- Python
- Data Validation: Ensure the accuracy and integrity of data used in analytics.
- Model Testing: Assist in the development and testing of predictive models and algorithms.
- Quality Assurance: Conduct thorough quality checks on data science processes and outputs.
- Analyze user stories/requirements, design test plan, create and execute test cases.
- Enhance continuous integration using Github and other in-house tools.
- Under the guidance of the Lead Engineer, design and develop test tools and test strategies.
- Resolve test failures due to, but not limited to, integration, cross feature impact.
- Whitebox testing and automation testing using different framework.
What you'll bring to us...
- Planned degree in Computer Science or CE (undergraduate or graduate).
- Completed at least 3 years of undergraduate degree (by time of internship) in targeted program and/or have pervious related experience.
- Experience with different Test Frameworks/Automation Manual either via coursework or industry experience.
- Demonstration of using technical skills outside of classroom work including TA, RA, personal projects, or previous internships.
- Relevant certifications in software testing or programming languages/frameworks will be an added advantage.
- Analytical and Problem-Solving Skills: Ability to analyze complex technical issues, troubleshoot problems, and propose effective solutions.
We Support Who You Are....
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you're launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
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Employment Type: OTHER