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Internship Python Quant Jobs in Birmingham, AL (NOW HIRING)

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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.

Internship Python Quant jobs near you
Derivative Sr. Analyst / Analyst II - Portfolio Management

Derivative Sr. Analyst / Analyst II - Portfolio Management

Protective

Birmingham, AL • On-site

Full-time

Posted 29 days ago

Protective Life rating

9.1

Company rating: 9.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

24th of 261 rated insurance

Job description

The work we do has an impact on millions of lives, and you can be a part of it.
We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.
Key Responsibilities
  • Support derivative hedging programs across variable annuity (VA), fixed indexed annuity (FIA), and other insurance products.
  • Develop expertise in derivatives capital markets, including the design and execution of hedging strategies.
  • Build, modify, and maintain models and systems used for portfolio management and risk management.
  • Collaborate with Derivatives, IT, Risk, and Middle Office teams to ensure effective system design and operation.
  • Perform ad hoc research and analysis in support of hedging and portfolio decisions.
  • Provide data, analysis, and reporting to internal stakeholders as needed.
  • Interpret internal and external issues and recommend solutions or best practices.
  • Communicate analysis and results to senior staff and leadership.
  • Participate in training, professional development, and ongoing learning related to derivatives, capital markets, and technology.
  • Contribute to project-based work supporting enhancements to models, systems, and processes.
Core Competencies
  • Derivatives & Capital Markets Analysis
    • Foundational understanding of derivatives, capital markets, and hedging strategies
    •  Ability to support the design, execution, and monitoring of derivative hedging programs
    • Understanding of the interaction between market risk, insurance liabilities, and portfolio outcomes
  • Financial Modeling & Quantitative Analytics
    •  Experience working with financial, quantitative, or actuarial models
    • Ability to run, interpret, and troubleshoot models supporting portfolio and risk management
    • Experience performing scenario, sensitivity, and ad hoc analysis to support decision-making
  • Portfolio & Hedging Program Support
    •  Support ongoing hedging programs across multiple products, including VA and FIA
    • Ability to provide timely data, analysis, and reporting to Risk, Middle Office, and other partners
    • Comfort supporting day-to-day portfolio management activities and special projects
  • Technology, Tools & Systems
    • Experience working within a modeling or analytics technology stack
    • Coding experience with Python and SQL preferred; exposure to C++, C#, R, or similar languages a plus
    • Ability to maintain and enhance systems used for portfolio management and hedging operations
  • Communication & Collaboration
    • Clear written and verbal communication skills
    • Ability to communicate complex analytical results to senior leaders and key stakeholders
    • Comfortable collaborating across teams including Derivatives, IT, Risk, and Middle Office
  • Professional Effectiveness
    • Strong analytical thinking, attention to detail, and sound judgment
    • Ability to manage shifting priorities in a fast-paced, team-oriented environment
    • Intellectual curiosity, willingness to learn, and proactive approach to problem solving
Minimum Qualifications:
  • Bachelor’s degree in a quantitative or technical discipline such as finance, mathematics, engineering, actuarial science, computer science, or a related field.
  • 4 years cumulative work experience, including relevant internships.
  • Experience with analytics or modeling, preferably in a financial, derivatives, quantitative, or actuarial context.
  • Demonstrated interest in capital markets and risk management.
  • Strong communication skills and a collaborative working style.
  • Ability to work in an in-office environment.
Preferred Qualifications
  • Advanced degree (MS, MBA, etc).
  • Experience with asset management, capital markets, or derivatives modeling.
  • Actuarial science background or actuarial designation.
  • Understanding of fixed income securities, derivatives, insurance liabilities, and risk management.
  • Coding experience, preferably in Python and SQL; experience with C++, C#, R, or similar languages is highly preferred.
  • Experience working with or supporting senior leadership.
  • Interest in progressing toward portfolio ownership and broader investment responsibility over time.
Employee Benefits:  
We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health.  Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective’s platform to improve wellbeing while earning cash rewards.   

Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.

Accommodations for Applicants with a Disability:
If you require an accommodation to complete the application and recruitment process due to a disability, please email eric.hess@protective.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  General employment questions should not be sent through this process.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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