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Internship Python Quant Jobs in Saint Paul, MN (NOW HIRING)

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... quantitative field; advanced degree, relevant internship experience, or equivalent hands-on ... Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong ...

Internship Python Quant information

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

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

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

What cities near Saint Paul, MN are hiring for Internship Python Quant jobs? Cities near Saint Paul, MN with the most Internship Python Quant job openings:
Advanced Data Analyst - Inventory & Planning Analytics

Advanced Data Analyst - Inventory & Planning Analytics

Bio-Techne

Minneapolis, MN • On-site

$62K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Bio-Techne rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Pay Range:

$62,300- $102,350

TheAdvanced Data Analyst - Inventory & Planning Analyticsserves as the functional owner of inventory and planning analytics used to support operational decision-making across the organization. This role designs,maintains, and governs analytics frameworks that informinventoryhealth, service-level risk, and planning tradeoffs. The position requires specialized experience in inventory planning concepts, enterprise data systems, and operational analytics, and works closely with Planning and Operations teams to translate complex data into actionable planning signals.

Key Responsibilities

Inventory & Planning Analytics Ownership

  • Own and evolve analytics frameworks supporting inventory health, service-level performance, and planning decisions (e.g., MOH, safety stock signals, backlog risk, inventory imbalance).

  • Define, document, andmaintainplanning logic, assumptions, and methodologies used by planning teams.

  • Analyze inventory behavior across products, sites, and regions toidentifyservice, cost, and risk tradeoffs.

Functional Leadership & Decision Support

  • Act as the functional lead for inventory and planning analytics,establishingstandards and methodologies used by planning teams.

  • Review andvalidateplanning analytics outputs to ensure consistency, accuracy, and decision readiness.

  • Serve as the escalation point for inventory and planning analytics questions and interpretation.

  • Provide analytical guidance andsubject matterexpertiseto planning and operations stakeholders.

Systems & Data Integration

  • Reconcile and integrate data across ERP and analytics platforms to ensure data integrity and alignment.

  • Translate planning and operational requirements into scalable analytics solutions.

  • Automate and standardize recurring analyses to improve efficiency, reliability, and governance.

Cross-Functional Partnership

  • Partner directly with Supply Chain, Planning, and Operations leaders to support inventory and service-level decisions.

  • Communicate insights clearly to technical and non-technical stakeholders, enabling informed decision-making.

Required Qualifications

  • Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering, Operations, Analytics, Computer Science, or related).

  • 3-5 yearsof experience in a data analyst role, preferably within operations or supply chain.

  • Specialized experience in inventory planning, supply chain analytics, or operational decision support.

  • Experience working with complex enterprise data and translating operational requirements into analytics frameworks.

  • Ability to independently own analytics domains and provide functional leadership without direct supervisory authority.

Preferred Qualifications

  • Master's degree in a quantitative or operations-focused field.

  • Experience with inventory planning concepts (e.g., MOH, safety stock, lead times, service levels).

  • Experience supporting planning or operations organizations through analytics.

  • Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI).

Why Join Bio-Techne:

  • We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
  • We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
  • We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
  • We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
  • We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
  • We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.


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