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Entry Level Finance Python Jobs (NOW HIRING)

Lennar

Financial Analyst

Miami, FL · On-site

The Finance Analyst is an entry-level role within the Technology Finance team, providing an ... Exposure to or coursework in data analytics, automation tools (Power Automate, Python, RPA), or AI ...

Lennar Homes

Financial Analyst

Miami, FL

The Finance Analyst is an entry-level role within the Technology Finance team, providing an ... Exposure to or coursework in data analytics, automation tools (Power Automate, Python, RPA), or AI ...

Lennar

Financial Analyst

Miami, FL · On-site

The Finance Analyst is an entry-level role within the Technology Finance team, providing an ... Exposure to or coursework in data analytics, automation tools (Power Automate, Python, RPA), or AI ...

Genesis10

Entry Level Software Developer

Saint Louis, MO · On-site

$60K/yr

... finance, healthcare, or insurance - Dev10 is your opportunity to upskill and launch a career in ... Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ...

Sun West Mortgage-Since 1980

Be Seen First

Software Engineer

Cerritos, CA · Remote

$100K - $200K/yr

Python (auto-morphing AI cells) * Core Systems: C/C++ (financial kernel), Java (via JNI ... Fully Remote Salary Range: Entry Level: $100,000-$120,000/year Experienced / Exceptional Talent ...

Pwc

AML/Sanctions- Data Scientist- Associate

Boston, MA · On-site

$63K - $140K/yr

... Python to tackle financial crime challenges. As an Associate you will focus on learning and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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How much do entry level finance python jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for entry level finance python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Finance Python professional, and why are they important?

To excel as an Entry Level Finance Python professional, you need a solid grounding in finance principles, data analysis, and proficiency in Python programming, often supported by a relevant degree in finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and libraries like pandas or NumPy is typically required. Strong analytical thinking, problem-solving, and attention to detail are crucial soft skills in this role. These competencies enable accurate data-driven decision making and efficient automation of financial processes, both critical for success in the fast-paced finance industry.

What types of projects or tasks are typically assigned to entry-level finance professionals with Python skills?

Entry-level finance professionals who know Python are often tasked with automating repetitive processes, cleaning and analyzing large datasets, and building simple financial models or dashboards. They may also support senior analysts by developing scripts to streamline data collection or reporting tasks. Collaboration with other team members, such as data analysts and financial managers, is common to ensure that insights derived from Python-driven analyses align with business goals. This hands-on experience not only builds technical skills but also offers exposure to the finance industry's data-driven decision-making processes.

What are Entry Level Finance Python jobs?

Entry Level Finance Python jobs are positions for recent graduates or career starters in the finance industry that require knowledge of the Python programming language. These roles often involve tasks such as data analysis, financial modeling, automation of reporting, and developing tools to support trading or risk management. Employers seek candidates with a background in finance, economics, or a related field, as well as proficiency in Python and an understanding of financial concepts. These jobs provide a foundation for more advanced careers in quantitative finance, data science, or financial engineering.

What is the difference between Entry Level Finance Python vs Entry Level Data Analyst?

AspectEntry Level Finance PythonEntry Level Data Analyst
Required SkillsPython, finance concepts, basic data analysisExcel, SQL, data visualization, basic statistics
CertificationsFinance or Python certifications helpfulData analysis or visualization certifications
Work EnvironmentFinancial institutions, fintech companiesCorporate, consulting, or tech firms
Industry UsageFinancial modeling, risk analysis, algorithmic tradingBusiness insights, reporting, data management

Entry Level Finance Python roles focus on applying Python skills within finance settings, emphasizing financial analysis and modeling. Entry Level Data Analyst positions involve broader data handling, visualization, and reporting tasks across various industries. While both roles require analytical skills, Finance Python roles are more specialized in finance-specific tools and concepts, whereas Data Analysts have a wider scope in data management and interpretation.

More about Entry Level Finance Python jobs
What cities are hiring for Entry Level Finance Python jobs? Cities with the most Entry Level Finance Python job openings:
What states have the most Entry Level Finance Python jobs? States with the most job openings for Entry Level Finance Python jobs include:
What job categories do people searching Entry Level Finance Python jobs look for? The top searched job categories for Entry Level Finance Python jobs are:
Entry Level Finance Python jobs near you
Infographic showing various Entry Level Finance Python job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 24% Full Time, 72% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Entry Level Actuarial Associate - HYBRID

Entry Level Actuarial Associate - HYBRID

DB Insurance Co., Ltd.

Anaheim, CA • On-site

$55K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Job Title

  • Entry Level Actuarial Associate

Location: 

  • 222 S Harbor Blvd, #720, Anaheim, CA 92805

Salary:

  • $26.50 - $33.65 per hour

Position Type: 

  • Full-time
  • Non-exempt (Hourly)
  • Monday – Friday
  • 8:30 am – 5:30 pm
  • Hybrid after 1 year – 3 days in office/2 days remote

Reports to: 

  • Senior Actuarial Manager

Position Overview

DB Insurance is seeking a motivated and detail-oriented Actuarial Associate to join our Automotive Insurance team. This entry-level position is ideal for a recent graduate with a degree in actuarial science, mathematics, statistics, or a related field who has a passion for numbers, a keen eye for detail, and a strong desire to learn. The Actuarial Associate will play a vital role in supporting our team by analyzing data, assisting with product development, and providing insights to optimize our insurance offerings.

Key Responsibilities

  • Support actuarial and statistical analysis to drive informed decision-making
  • Manage and update product and rating sheets using Excel to ensure accuracy and consistency
  • Assist in pricing and loss ratio analysis across products, lines, and branches to support strategic insights
  • Conduct market and competitor benchmarking to inform strategic initiatives
  • Assist in the preparation and submission of filings for rate, rule, and form changes
  • Generate and analyze underwriting monitoring data to identify trends and areas for improvement
  • Support the creation of Property & Casualty market data reports using SAS
  • Collaborate with cross-functional teams, including underwriting, claims, and marketing, to gather data and ensure alignment of product goals
  • Support rate filings and regulatory compliance by preparing documentation and responding to information requests
  • Prepare reports and presentations that highlight findings, trends, and actionable insights
  • Continuously learn about the insurance industry and stay informed of changes in regulations, trends, and best practices in data analysis

Qualifications

  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field
  • Successful completion of one or more Actuarial exams.
  • Strong analytical skills with a solid foundation in quantitative methods and data analysis
  • Proficiency in Microsoft Excel, with familiarity in data analysis tools (e.g., SQL, R, Python) being a plus
  • Exceptional attention to detail and commitment to producing accurate and high-quality work
  • Excellent communication skills, with the ability to present complex information in an understandable manner
  • Self-motivated, with a desire to learn and continuously improve knowledge of the insurance industry
  • Ability to work collaboratively within a team and independently when required

Benefits

  • Medical (PPO), dental (PPO), vision (PPO), and life insurance covered 100% by the company and 50% for dependents
  • Paid time off and sick leave
  • 13 annual paid holidays
  • 401(k) plan with up to 4% company match
  • Flexible Spending Account (FSA) & Dependent Care FSA
  • Quarterly Fringe Benefit reimbursements
  • Job-related training reimbursement
  • Casual dress code

About Us

At DB Insurance USA, we carry forward a legacy of excellence that began in South Korea in 1962 and expanded to the U.S. in 1984. Backed by the financial strength of a global powerhouse (AM Best Rating: A+, S&P Rating: A+), we combine world-class resources with the agility of a close-knit team. With offices in California, Hawaii, New York, and Guam, we provide innovative insurance solutions tailored to protect your property, business, and livelihood. We are committed to fostering a culture of inclusion and innovation, ensuring exceptional service and peace of mind for every policyholder. 

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