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Python Financial Modelling Jobs (NOW HIRING)

Advanced Excel financial modelling (dynamic forecasting models, scenario analysis, driver-based ... SQL or Python for data analysis. * Commercial Acumen: Genuine curiosity about how the business ...

... modelling, monitoring, and automation. This position will be located in the Chicago office ... finance or trading is a definite plus. - A self-motivated personality with a passion for working in ...

Quantitative Analyst - Rates XVA

New York, NY ยท Hybrid

$175K - $250K/yr

... modelling or analytics role within the financial sector, with demonstrated depth in derivatives ... Hands-on experience with Python for quantitative research, model development, or analytical ...

Advanced Excel financial modelling (dynamic forecasting models, scenario analysis, driver-based ... SQL or Python for data analysis. * Commercial Acumen: Genuine curiosity about how the business ...

Strong technical skills in Excel for financial modelling and data analysis, and PowerPoint for ... Coding & Data Tools: Familiarity with Python, Power BI, SQL, or similar tools is a plus.

Strong technical skills in Excel for financial modelling and data analysis, and PowerPoint for ... Coding & Data Tools: Familiarity with Python, Power BI, SQL, or similar tools is a plus.

Sr. Manager - FP&A

Denver, CO ยท On-site

$113K - $155K/yr

SQL, Python) and/or data visualization tools (e.g. PowerBI, Tableau) is beneficial * Prior airline ... An analytical mindset with strong data analysis and financial modelling skills. * Experience with ...

Senior Manager - FP&A

Denver, CO ยท On-site

$123K - $163K/yr

SQL, Python) and/or data visualization tools (e.g. PowerBI, Tableau) is beneficial * Prior airline ... An analytical mindset with strong data analysis and financial modelling skills. * Experience with ...

Advanced Excel financial modelling (dynamic forecasting models, scenario analysis, driver-based ... SQL or Python for data analysis. * Commercial Acumen: Genuine curiosity about how the business ...

Senior Manager - FP&A

Denver, CO ยท On-site

$113K - $155K/yr

SQL, Python) and/or data visualization tools (e.g. PowerBI, Tableau) is beneficial * Prior airline ... An analytical mindset with strong data analysis and financial modelling skills. * Experience with ...

Showing results 21-40

Python Financial Modelling information

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How much do python financial modelling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python financial modelling 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 Python financial modelling?

Python financial modelling refers to the use of the Python programming language to create mathematical models that represent the financial performance of an asset, project, or business. These models are used for forecasting, valuation, risk analysis, and decision-making. Python offers powerful libraries such as pandas, NumPy, and scikit-learn that allow financial professionals to automate calculations, analyze large datasets, and visualize results. The flexibility and scalability of Python make it a popular choice for both simple and complex financial models in industries like banking, investment, and corporate finance.

What are the key skills and qualifications needed to thrive as a Python financial modelling professional?

To thrive as a Python Financial Modelling professional, you need a solid grounding in finance, mathematics, and programming, typically with a degree in finance, economics, or a related field and strong Python skills. Familiarity with tools like NumPy, pandas, Excel, and financial modelling libraries, as well as knowledge of databases and version control systems, is essential. Analytical thinking, attention to detail, and effective communication help in interpreting data and presenting insights to stakeholders. These skills enable the creation of accurate, scalable financial models that drive data-driven business decisions.

What are some common challenges faced by professionals in Python financial modelling roles, and how can they be addressed?

Professionals in Python Financial Modelling often encounter challenges such as ensuring data accuracy, handling large and complex datasets, and adapting models to rapidly changing market conditions. Collaborating closely with data engineers and financial analysts can help verify data integrity and streamline workflows. Staying updated with the latest Python libraries and financial modelling best practices is also essential for overcoming technical hurdles and enhancing model performance. Regular code reviews and peer feedback further reduce errors and improve the quality of your models.

What is the difference between Python Financial Modelling vs Python Data Analysis?

AspectPython Financial ModellingPython Data Analysis
Required CredentialsFinance or Economics background, certifications like CFA beneficialStatistics, Data Science, or related certifications
Work EnvironmentFinancial institutions, investment firms, bankingResearch firms, tech companies, consulting
Industry UsageFinancial forecasting, risk analysis, valuationData cleaning, visualization, insights generation

Python Financial Modelling focuses on building financial models for forecasting and valuation, often requiring finance-specific knowledge. Python Data Analysis emphasizes processing and interpreting data across various industries. While both roles utilize Python, their applications and industry contexts differ significantly.

What other helpful pages are available for Python Financial Modelling?

Other pages related to Python Financial Modelling:

Infographic showing various Python Financial Modelling job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Lead Quantitative BI Analyst, Business Intelligence

Westlake, TX โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Lead Quantitative BI Analyst, Business Intelligence

Who We Are

Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life's other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.

The Role

We are seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. The ideal candidate thrives in ambiguity, demonstrates intellectual agility, and can translate complex datasets into actionable insights for senior leadership.

You will design and maintain robust financial and operational models, architect scalable BI solutions, and deliver automated reporting frameworks that empower strategic initiatives, forecasting, and executive decision-making.

What You'll Do

- Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.

- Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.

- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.

- Develop and optimize ETL/ELT processes to ensure data integrity and scalability.

- Create automated dashboards and reporting tools using BI platforms (e.g., Power BI, Tableau) to track financial and operational performance.

- Integrate BI tools with enterprise systems (ERP, CRM) for unified data access.

- Partner with finance, product, and technology teams to refine assumptions, validate models, and align BI solutions with business objectives.

- Present insights and recommendations to senior executives in a clear, structured format.

- Implement data governance standards, metadata management, and ensure compliance with organizational policies.

- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.

What You'll Bring

Education & Experience

- Bachelor's degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus.

- 7+ years of combined experience in financial analysis and BI/data engineering roles.

Technical Skills

- Advanced proficiency in Excel and financial modelling.

- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.

- 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).

- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.

- Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts.

Soft Skills
- Exceptional problem-solving ability and attention to detail.

- Ability to communicate complex technical and financial concepts clearly to non-technical stakeholders.

- Proven track record of ownership, adaptability, and delivering results in fast-paced environments.

What We're Looking For

- A critical thinker who thrives at the intersection of finance and technology.

- Strong quantitative mindset with the ability to design scalable BI solutions.

- Highly motivated self-starter with an ownership mentality and a bias for execution

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company's needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.

EQUAL OPPORTUNITY EMPLOYER
SOLERA HOLDINGS, INC., AND ITS US SUBSIDIARIES (TOGETHER, SOLERA) IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE FIRM'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.