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Entry Level Finance Python Jobs in Philadelphia, PA

... finance, healthcare, or insurance - Dev10 is your opportunity to upskill and launch a career in ... You'll train in technologies including Relational and Non-Relational Databases, APIs, Python ...

Entry Level Data Engineer

Philadelphia, PA · On-site

$109.40K - $131.40K/yr

Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ... finance, healthcare, banking, insurance, hospitality, aviation, or tech Company : Information ...

Entry Level Finance Python information

See Philadelphia, PA salary details

$13

$59

$87

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

As of Jun 4, 2026, the average hourly pay for entry level finance python in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 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.

What are popular job titles related to Entry Level Finance Python jobs in Philadelphia, PA? For Entry Level Finance Python jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Finance Python jobs in Philadelphia, PA look for? The top searched job categories for Entry Level Finance Python jobs in Philadelphia, PA are:
AML/Sanctions- Data Scientist- Associate

AML/Sanctions- Data Scientist- Associate

Pwc

Philadelphia, PA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python to tackle financial crime challenges. As an Associate you will focus on learning and contributing to client engagement, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Utilize analytical techniques to address financial crime issues
- Engage with clients to foster meaningful professional relationships
- Apply SQL and Python for data analysis and problem-solving
- Explore machine learning, NLP, and LLMs in relevant projects
- Contribute to team efforts while enhancing personal technical skills
- Adapt to complex situations and develop strategic insights
- Participate in research to support project objectives
- Uphold professional standards and ethical guidelines
What You Must Have
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
- 1 year of experience in data science/machine learning
What Sets You Apart
- Interest in financial crime, AML, and fraud analytics
- Skilled in SQL for complex data queries
- Advanced Python skills for data manipulation
- Experience building and deploying machine learning models
- Understanding of machine learning concepts and algorithms
- Comfort working with structured and unstructured data
- Familiarity with agentic AI frameworks
- Hands-on experience with CI/CD pipelines for data science
- Proficiency in SQL and Python
- Basic understanding of machine learning algorithms and evaluation metrics
- Exposure to frameworks such as scikit-learn, XGBoost, Hugging Face Transformers
- Other quantitative fields of study may be considered

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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