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Internship Competitive Programming Jobs in Needham, MA

Materion

2026 Internship & Co-Op Program

Westford, MA

$15 - $25/hr

... Engineering, Business, Finance, Accounting, Communications, Computer Science/IT coursework ... Competitive Hourly Wage * Paid Travel Expenses * Summer Living Stipend * Hands-on Professional ...

Syska Hennessy Group

Mechanical Engineering Co-op

Boston, MA · Hybrid

$20.25 - $27.50/hr

From our supportive culture, diverse workforce, and competitive compensation to our flexible work ... Interns are encouraged and expected to attend these sessions as such are crucial to their ...

Syska Hennessy Group

Mechanical Engineering Co-op

Boston, MA · Hybrid

$20.25 - $27.50/hr

Interns are encouraged and expected to attend these sessions as such are crucial to their ... Competitive Paid Time Off (PTO) policy * Transit/parking employer stipend * ½ day work from home ...

Syska Hennessy Group

Mechanical Engineering Co-op

Boston, MA · On-site

$20.25 - $27.50/hr

Interns are encouraged and expected to attend these sessions as such are crucial to their ... Competitive Paid Time Off (PTO) policy * Transit/parking employer stipend * ½ day work from home ...

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Internship Competitive Programming information

See Needham, MA salary details

$12

$21

$32

How much do internship competitive programming jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for internship competitive programming in Needham, MA is $21.04, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $22.79 per hour, depending on experience, location, and employer.

What types of projects or challenges can I expect to work on during a Competitive Programming internship?

During a Competitive Programming internship, you can expect to tackle algorithmic challenges, optimize solutions for efficiency, and participate in problem-solving sessions, often as part of a team. Interns frequently work on creating or testing problems for contests, developing tools or scripts to support competition platforms, and collaborating closely with experienced programmers to review and debug code. These experiences not only strengthen your coding skills but also familiarize you with real-world applications of algorithms and team-based development workflows. Exposure to peer code reviews and regular feedback sessions is also common, helping you grow both technically and professionally.

Where can I do competitive programming?

Competitive programming can be practiced on online platforms such as Codeforces, LeetCode, CodeChef, AtCoder, and HackerRank, which host regular contests and provide problem sets for skill development. Participating in these platforms helps improve problem-solving skills and prepares for technical job assessments.

Is 22 too old for an internship?

Internship Competitive Programming roles are open to candidates of all ages, including those who are 22 or older. Age is generally not a barrier if you have the required programming skills, problem-solving ability, and a willingness to learn. Many internships value diverse experiences and backgrounds, making age less relevant than skills and motivation.

Is 23 an hour good for an internship?

For an internship in competitive programming, a rate of $23 an hour is generally considered competitive, especially for roles requiring strong coding skills and problem-solving abilities. Internships often pay between minimum wage and $25 an hour, depending on the company, location, and level of experience expected. Factors such as the company's size, industry, and whether the internship is paid or unpaid also influence the appropriateness of this rate.

What are the big 4 internships?

The big 4 internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on consulting, auditing, and advisory services, providing valuable experience for students pursuing careers in accounting, finance, and consulting.

What is the difference between Internship Competitive Programming vs Software Developer Intern?

AspectInternship Competitive ProgrammingSoftware Developer Intern
Required SkillsAlgorithm design, problem-solving, coding proficiencyProgramming, software development, coding skills
Work EnvironmentCompetitive programming contests, online platforms, hackathonsSoftware development teams, tech companies, project-based work
Industry UsageUsed for skill demonstration, coding competitions, prep for tech rolesUsed for gaining industry experience, software project work

Internship Competitive Programming focuses on honing algorithmic skills through contests and online platforms, often used for skill validation and preparation for technical roles. Software Developer Internships involve working on real-world projects within a company's development team, emphasizing practical software engineering experience. Both roles require strong coding skills but differ in environment and purpose.

What is an internship in competitive programming?

An internship in competitive programming is a structured work experience for students or recent graduates that focuses on developing algorithmic problem-solving skills, programming proficiency, and familiarity with coding competitions. Interns typically work on challenging coding problems, participate in contests, and may help design or test problems for competitions. Such internships are often offered by tech companies, educational organizations, or competitive programming platforms, and can provide valuable experience for careers in software engineering or related fields.

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

To thrive as an Internship Competitive Programming, you need a solid grasp of algorithms, data structures, and strong problem-solving abilities, often demonstrated through participation in programming contests and relevant coursework. Familiarity with coding platforms like Codeforces, LeetCode, or HackerRank, and proficiency in languages such as C++, Java, or Python, are typically expected. Analytical thinking, perseverance, and teamwork are valuable soft skills that distinguish top candidates in this role. These skills are crucial for quickly solving complex problems, collaborating effectively, and excelling in high-pressure, time-sensitive environments.
What job categories do people searching Internship Competitive Programming jobs in Needham, MA look for? The top searched job categories for Internship Competitive Programming jobs in Needham, MA are:
What cities near Needham, MA are hiring for Internship Competitive Programming jobs? Cities near Needham, MA with the most Internship Competitive Programming job openings:
Internship Competitive Programming jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 15 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)