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Entry Level Finance Python Jobs (NOW HIRING)

FM Transformation Analyst

Huntsville, AL · On-site

$68K - $113K/yr

Finance & Accounting Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain ... Python, SQL, Microsoft Dataverse (CDS), Power Apps, Power Automate, Databricks, and PowerBI.

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Entry Level Finance Python information

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

As of Jul 15, 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 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.

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 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.
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:
Infographic showing various Entry Level Finance Python job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Risk Management Analyst I - Loss Mitigation

Risk Management Analyst I - Loss Mitigation

Mariner Finance

Plano, TX

$73K - $91K/yr

Full-time

Re-posted 21 days ago


Mariner Finance rating

7.4

Company rating: 7.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

120th of 148 rated financial services


Job description

Base Salary RangeUSD $73,957.63 - USD $91,658.15 /Yr.Join Mariner Finance!

Since 1927, the Mariner Finance family of companies has provided customers with creative, flexible, and convenient lending options. Headquartered in Baltimore, Mariner Finance operates coast-to-coast with physical locations in over half the states. With a growing number of employees, superior customer service remains the cornerstone of our business, and we pride ourselves in delivering a variety of loans with an enhanced focus on exceptional service. We work with customers to find options that are beneficial to their specific needs, which is why we are recognized by our customers as one of the community's consumer finance companies of choice.

Benefits:

For information regarding our benefits, please visit: https://www.marinerfinance.com/careers/benefits/ 

Job Details

In this role, you will...

The Risk Management Analyst - Loss Mitigation will support the development, execution, and monitoring of strategies that minimize credit losses and improve recovery performance across Mariner Finance's consumer lending portfolio. This entry-level role is ideal for a highly analytical and motivated individual looking to build a career in credit risk management.

The analyst will assist in analyzing portfolio trends, testing loss mitigation initiatives, and supporting cross-functional projects that enhance decision-making and operational effectiveness. Working closely with the AVP of Loss Mitigation and partners across Risk, Credit, and Central Operations, this individual will gain hands-on experience with data analytics, strategy design, test design, and risk process optimization in a fast-paced, collaborative environment.

Responsibilities and Duties:

  • Collect, analyze, and interpret data related to delinquency, recovery, and loss trends across all stages of the credit lifecycle.
  • Prepare regular reports and dashboards summarizing key performance metrics for management review.
  • Support ad-hoc analytical requests to investigate performance drivers, portfolio movements, and risk exposures.
  • Assist in the implementation and tracking of loss mitigation strategies, including hardship programs, settlement offers, and post-charge-off recovery tactics.
  • Partner with Central Operations to ensure accurate and timely execution of strategy changes, campaign launches, and process updates.
  • Participate in controlled testing and analysis of new strategies to evaluate effectiveness and impact.
  • Maintain data accuracy within analytical tools, reports, and systems supporting loss mitigation processes.
  • Help enhance existing tools and contribute to the design of new dashboards, reports, and automation workflows.
  • Collaborate with Technology and Data Science teams to support model performance monitoring and data integration efforts.
  • Partner with colleagues in Credit, Collections, Operations, and Risk to ensure strategies are aligned and effectively executed.
  • Support presentations and documentation for internal stakeholders, including senior management and compliance reviews.
  • Participate in projects that enhance the customer experience, improve efficiency, and strengthen overall risk controls.
  • Develop a working knowledge of credit risk fundamentals, loss mitigation strategies, and consumer lending operations.
  • Actively engage in ongoing training and mentorship from senior risk leaders to build technical, analytical, and business acumen.
  • Stay current on industry trends, emerging technologies, and regulatory developments affecting credit and loss mitigation.

Required Qualifications:

  • Bachelor's degree in a quantitative field of study (Statistics, Economics, Finance, Engineering, Applied Mathematics, etc.) with an exceptional academic record.
  • Experience with SAS, SQL, or similar tools.
  • Strong technical skills with proficiency in MS Office suite; Advanced in Excel (e.g., pivots, advance formulas, macros).
  • Understanding of general risk principles and financial concepts.
  • Demonstrate a strong commitment to continuous learning, actively seeking out opportunities to acquire new skills and stay abreast of industry trends.
  • Excellent interpersonal skills necessary to communicate professionally and effectively, verbally and in writing, with all levels of company staff.
  • Highly-motivated self-starter with strong work ethic, exceptional attention to detail, and ability to complete tasks and support multiple projects simultaneously.
  • Strong analytical, problem-solving, organizational, and project administration skills.
  • Results oriented individual with the ability to translate plans into actions.

Preferred Qualifications:

  • Experience in credit loss forecasting and/or credit risk analysis.
  • Experience with Python, R, or similar tools.

Hours of Work:

Work hours will depend on the business hours of the time zone serviced.

To the extent permitted by law, the Company may, in its sole discretion, change the work schedule to address business needs.

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit for extended periods; reach with hands and arms; and talk or hear. The employee is occasionally required to move about. The employee must occasionally lift and/or move up to twenty (20) pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.

EEO:

Mariner Finance is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, creed, sex, gender, gender identity or expression, marital status, age, religion, national origin, sexual orientation, familial or caregiver status, citizenship status, status as a victim of domestic violence, medical condition, genetic information, pregnancy, physical or mental disability, or status as a disabled or Vietnam era veteran. Employee must be able to perform the essential duties/functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential duties/functions of their job, absent undue hardship. Drug/Alcohol/Smoke-free workplace. 

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Employment Type: FULL_TIME

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