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Internship Algorithmic Trading Programmer Jobs in Connecticut

... algorithm tool) consulting. * Develop specifications, system descriptions, and performance ... Present solution concepts, technical trade-offs, and value propositions to both technical and ...

Gain exposure to financial data concepts (PnL, risk) and quantitative trading systems ... Familiarity with data structures and algorithms. Domain-Specific Knowledge (Beneficial but not ...

Software Engineer III

Greenwich, CT · On-site

$64.50 - $86.75/hr

Through its affiliates, Interactive Brokers provides automated trade execution and custody of ... Optimizing, improving, and supporting existing algorithms and systems to reach the goal of highly ...

Showing results 41-60

Internship Algorithmic Trading Programmer information

What types of projects and tasks can I expect to work on as an internship algorithmic trading programmer?

As an Internship Algorithmic Trading Programmer, you can expect to work on tasks such as coding and backtesting trading algorithms, analyzing financial market data, and optimizing strategies for performance. Interns often collaborate closely with quantitative analysts and senior developers, learning industry-standard tools and platforms. Your daily responsibilities may include debugging code, running simulations, and documenting your findings. This hands-on experience provides excellent exposure to the fast-paced trading environment and is a valuable stepping stone to full-time roles in quantitative finance.

What is an internship algorithmic trading programmer?

Internship Algorithmic Trading Programmers are students or early-career professionals who work as interns in financial firms to help develop, test, and implement automated trading strategies using programming and quantitative analysis. They typically work under the supervision of experienced traders or quantitative analysts, using programming languages like Python, C++, or Java to code algorithms that trade financial instruments. These internships provide valuable hands-on experience in financial markets, algorithm development, and risk management, helping interns build the skills needed for a career in quantitative finance or trading technology.

What is the difference between Internship Algorithmic Trading Programmer vs Quantitative Trading Intern?

AspectInternship Algorithmic Trading ProgrammerQuantitative Trading Intern
Required CredentialsBasic programming skills, coursework in algorithms or financeStrong math, statistics, or finance background
Work EnvironmentDeveloping trading algorithms, coding, testing strategiesData analysis, model development, research
Industry UsageCommon in trading firms, hedge funds, investment banksSimilar, often overlapping roles in finance firms

Both roles involve finance and programming, but the Internship Algorithmic Trading Programmer focuses more on coding and implementing trading algorithms, while the Quantitative Trading Intern emphasizes data analysis and quantitative research. The roles are closely related and often overlap in industry usage.

What are the key skills and qualifications needed to thrive as an internship algorithmic trading programmer, and why are they important?

To thrive as an Internship Algorithmic Trading Programmer, you need strong programming skills (typically in Python, C++, or Java), a solid grasp of algorithms, and foundational knowledge in mathematics or finance, often supported by ongoing studies in computer science, engineering, or related fields. Familiarity with version control systems (like Git), data analysis tools (such as Pandas or NumPy), and exposure to trading platforms or APIs is advantageous. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and troubleshooting complex problems. These skills ensure the development of robust, efficient trading algorithms and contribute to the competitiveness and reliability of trading strategies.
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Automation Solutions Engineer

Ranpak

Shelton, CT • On-site

Full-time

Re-posted yesterday


Ranpak rating

8.8

Company rating: 8.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 119 rated packaging manufacturers


Job description

Key Responsibilities
Solution Design
  • Lead the design of complex automation solutions, including packaging automation, material handling interfaces, and system integrations.
  • Translate customer operational requirements into technical system architectures and solution concepts. Drive and guide solutions to effectively integrate with broader warehouse ecosystems, AS/RS, robot picking and other goods-to-person systems.
  • Consult on box design and dimensions based on best practices, industry knowledge and data-driven Precube'it! (bin packing algorithm tool) consulting.
  • Develop specifications, system descriptions, and performance assumptions.
  • Evaluate feasibility, risks, and constraints for automation projects.

Sales & Customer Engagement
  • Act as a senior technical partner during pre-sales and solution definition phases.
  • Support customer meetings, site visits, and technical workshops.
  • Present solution concepts, technical trade-offs, and value propositions to both technical and executive audiences.
  • Utilize tools (bin-packing algorithms) to demonstrate solution performance and value.
  • Present solution concepts, technical trade-offs, and value propositions to both technical and executive audiences.
  • Build and present ROI/COI-driven business cases, clearly articulating financial and operational value to stakeholders.

Partner Engagement
  • Educate strategic partners like consultants, integrators and 3PL on the portfolio and the added value within the overall solutions.
  • Coordinate / manage the technical aspects of key-account management

Project Execution Support
  • Collaborate with Project Managers and field teams to resolve technical issues.
  • Ensure solutions align with Ranpak engineering standards and best practices.
  • Support continuous improvement of solution templates and design methodologies.

Expertise
  • Serve as a subject matter expert in automation and systems engineering.
  • Stay current with automation technologies, controls, and industry trends.
  • Contribute feedback to product management and R&D based on field experience.

Required Qualifications
  • Bachelor's or master's degree in engineering (Mechanical, Electrical, Industrial, Mechatronics, or related field).
  • Extensive experience in automation, material handling, or industrial systems engineering, highly preferably in intralogistical applications
  • Proven experience designing and delivering complex automated systems.
  • Strong understanding of:

    • Industrial automation and system integration
    • Controls architecture (PLC/HMI concepts)
    • Mechanical and electrical system interfaces

  • Curious, pro-active, collaborative and hands-on mentality
  • Experience working in a customer-facing, solutions-oriented role.
  • Ability to travel up to ~25-45%.

Preferred Qualifications
  • Experience with packaging automation, warehouse automation, or intralogistics systems.
  • Familiarity with high-volume distribution, manufacturing, or e-commerce environments.
  • Experience supporting technical sales or capital equipment projects.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to operate comfortably in ambiguous, fast-moving environments.
  • Preferably experienced in CAD design (2D or 3D)

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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