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Internship Accounting Python Jobs in Wisconsin (NOW HIRING)

Internship Accounting Python information

What are the key skills and qualifications needed to thrive as an Accounting Intern with Python skills, and why are they important?

To thrive as an Accounting Intern with Python skills, you typically need a foundational understanding of accounting principles, attention to detail, and coursework or a degree in accounting, finance, or a related field. Familiarity with accounting software (like QuickBooks or SAP) and proficiency in Python for data analysis and automation are highly valuable. Strong analytical thinking, communication skills, and a willingness to learn help interns stand out in collaborative, fast-paced environments. These skills are crucial for efficiently handling financial data, streamlining processes, and contributing meaningfully to accounting projects.

What types of projects or tasks can I expect to work on as an Accounting Intern with a focus on Python?

As an Accounting Intern with Python skills, you can expect to participate in projects that involve automating accounting processes, analyzing financial data, and assisting with data visualization. Your daily tasks may include writing Python scripts to streamline repetitive tasks like data entry or reconciliation, supporting the finance team with reporting, and helping to ensure data accuracy. You'll likely collaborate closely with both accounting professionals and IT staff, giving you valuable exposure to cross-functional teamwork and real-world problem-solving using technology in a finance environment.

What is an Internship Accounting Python?

An Internship Accounting Python is a temporary position for students or recent graduates who assist accounting teams using Python programming skills. Interns in this role typically help automate financial processes, analyze large data sets, and support tasks such as report generation and data cleaning. This internship provides hands-on experience in both accounting principles and Python-based data analysis, offering valuable exposure to modern finance technology. It is ideal for individuals looking to combine accounting knowledge with practical programming skills.

What is the difference between Internship Accounting Python vs Accounting Assistant?

AspectInternship Accounting PythonAccounting Assistant
Required CredentialsBasic accounting knowledge, Python scripting skillsHigh school diploma, basic accounting knowledge
Work EnvironmentInternship setting, often in tech or finance firmsOffice environment, accounting departments
Employer & Industry UsageFinance, tech, or consulting firmsCorporations, small businesses, accounting firms
Common Search & ComparisonYesYes

Internship Accounting Python focuses on gaining experience in accounting with programming skills, often involving data analysis and automation. In contrast, an Accounting Assistant handles routine accounting tasks without necessarily requiring programming knowledge. Both roles support accounting functions but differ in technical requirements and work scope.

What cities in Wisconsin are hiring for Internship Accounting Python jobs? Cities in Wisconsin with the most Internship Accounting Python job openings:

$80K - $90K/yr

Full-time

Posted 16 days ago


Job description

The Investment Risk Analyst supports daily valuation oversight and mutual fund risk management as part of the Allspring Investment Analytics team, partnering with internal stakeholders and external service providers to help ensure data quality, sound controls, and timely reporting

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days a week. This role may periodically require a shifted schedule, including evening hours, to support time-sensitive deliverables and issue resolution.

Location(s): Milwaukee, Wisconsin USA


  • Perform daily valuation oversight activities for mutual funds, including data review, exception tracking, and documentation.
  • Investigate pricing breaks, NAV exceptions, and other data quality issues; summarize findings, recommend next steps, and escalate as needed.
  • Produce, validate, and distribute risk reporting (daily/weekly/monthly/quarterly), including reasonability checks and variance explanations.
  • Partner with fund accounting, operations, risk, compliance, technology, and external providers (e.g., fund accountants and pricing vendors) to resolve issues, improve data quality, and support process continuity.
  • Support business initiatives and service provider or system changes impacting valuation or risk analytics, including requirements gathering, testing/UAT, parallel runs, and implementation documentation.
  • Build and enhance practical tools using Python code and AI tools to automate workflows, improve daily checks, and streamline risk and valuation processes.
  • Maintain and continuously improve procedures, controls, and audit-ready evidence.
  • Support ad hoc investment, risk, and valuation analysis and respond to stakeholder inquiries, under guidance of senior analysts.

Required Qualifications: 

  • Bachelor’s degree in finance, accounting, economics, mathematics, statistics, computer science, engineering, or a related field (or equivalent work experience).
  • Strong attention to detail and controls mindset with the ability to investigate exceptions, document work clearly, and escalate issues appropriately.
  • Clear written and verbal communication skills.
  • Strong quantitative and analytical skills with the ability to work accurately with large datasets.
  • Ability to use AI tools responsibly to accelerate research, documentation, and basic programming tasks while validating outputs and following firm policies.
  • Ability to learn and navigate multiple financial systems and data sources.
  • Flexibility to periodically work a shifted schedule, including evening hours, to support business needs.
  • Ability to work independently and collaboratively in a cross-functional environment.
  • Remain in stationary position for prolonged periods of time
  • Operate computer programs and software
  • Ability to communicate effectively with audiences in person and in electronic formats
  • Day-to-day contact with others (co-workers and/or public)
  • Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Preferred Qualifications:

  • 1–5 years of relevant experience (including internships/co-ops) in fund accounting/operations, pricing/valuation, performance, risk, investment research, or audit.
  • Experience with mutual fund operations concepts (e.g., NAV process, pricing sources, corporate actions, or fair valuation).
  • Progress toward CFA designation (CFA Level I candidate or passed Level I) preferred.
  • Intermediate proficiency with data and automation tools, including Excel, SQL Python, Power BI, and/or Tableau.
  • Familiarity with agentic AI concepts and experience developing AI-enabled workflows (e.g., prompt patterns, tool use, and validation/controls).
  • Familiarity with market data and risk platforms (e.g., Bloomberg).
  • Exposure to control frameworks and audit support (e.g., maintaining evidence, performing checklists/reconciliations, documenting procedures).

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.


Base Pay Range: $80,000 - $90,000 

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)


We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status