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Internship Algorithmic Trading Programmer Jobs in Tennessee

Turner Construction

Engineer

Memphis, TN · On-site

Supervising Assistant Engineers, Engineering Assistants, Plan Clerks and Interns, including providing input on performance appraisals. * Preparing Scope of Work documents for trades. * Developing ...

Turner Construction

Engineer

Memphis, TN · On-site

Supervising Assistant Engineers, Engineering Assistants, Plan Clerks and Interns, including providing input on performance appraisals. * Preparing Scope of Work documents for trades. * Developing ...

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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 are Internship Algorithmic Trading Programmers?

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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Internship Algorithmic Trading Programmer jobs near you
Infographic showing various Internship Algorithmic Trading Programmer job openings in Tennessee as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution.
Python Analytics Developer

Python Analytics Developer

SIAL TECHNOLOGY PARTNERS

Nashville, TN • On-site

$48.50 - $67/hr

Other

Re-posted 22 days ago

Job description

Python Analytics Developer

Nashville, TN (on-site consultant role)

Hybrid 3~4 days in-office 8am 4pm CST workday.

Job Role:

Create and refine quant algorithm scripts in Python to solve complex financial problems.

Close to a Data Science Engineer type of role.

Technical Skills:

  • Strong knowledge of Python programming language and its frameworks, with a focus on back-end development.
  • Knowledge of software development principles and Object-Oriented development and design patterns (C# experience a plus)
  • Experience with back-end technologies such as Oracle, SQL Server, .NET, REST API, microservices, etc.
  • Understanding of parallel programming concepts and packages parallelization/multiprocessing/cloud.
  • Working experience/knowledge of Azure is a plus (CI/CD, Kubernetes, Data Factory, Containers/Pods/Docker, [ AWS is ok - Azure equivalent ]

Quantitative and Analytical Skills:

  • Strong mathematical and statistical skills, with the ability to apply them to develop financial algorithms.
  • Experience in developing and optimizing quantitative algorithms for financial applications.
  • Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex problems.
  • Ability to troubleshoot and optimize existing analytics solutions for improved performance.

Investment Product

- Tax Advantaged Taxable Bond SMAs (differentiate our Taxable SMAs with an industry first systematic tax optimization for taxable bonds)

- Capacity to develop additional Taxable SMA products (potentially offshore solutions, completion fund products, non-USD, etc)

Type of Quant/Algo/Analytic Software to Develop

  • Automated Transition Analysis (real-time transition from existing bonds to portfolios via Service Center)
  • Automated Proposals (cash funded proposals/model portfolios via Service Center)
  • Trade Rationales (unparalleled transparency for advisors into SMA trading activity and benefits)
  • Transition Scorecards (proactive touch point summarizing onboarding process and portfolio changes/benefits)

We look forward to reviewing your profile.

Thanks, Talent Team @ SIALTP

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