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Quant Developer Internship Jobs in Orlando, FL (NOW HIRING)

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

... internship/academic projects in data science, machine learning, or software engineering • Minimum ... related quantitative discipline is preferred • Familiarity with LLMs and frameworks like ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... feature engineering techniques, and scalable transformation processes to ensure accuracy ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Quant Developer Internship information

What is a quant developer internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

What are the key skills and qualifications needed to thrive as a quant developer intern?

To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.

What are some common challenges faced during a quant developer internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

What is the difference between Quant Developer Internship vs Quant Analyst Internship?

AspectQuant Developer InternshipQuant Analyst Internship
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

Is it hard to get a quant developer internship?

Securing a quant developer internship is competitive due to high demand for strong programming skills in languages like Python, C++, and MATLAB, as well as a solid understanding of mathematics and finance. Candidates often need relevant coursework, prior experience, and strong problem-solving abilities to stand out in the application process.

What are the most commonly searched types of Quant Developer jobs in Orlando, FL?

The most popular types of Quant Developer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Quant Developer Internship jobs?

Cities near Orlando, FL with the most Quant Developer Internship job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Orlando, FL • On-site

$35/hr

Other

Posted 2 days ago

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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