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Python Financial Jobs in Kentucky (NOW HIRING)

$164K - $224K/yr

Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL ... finance and analytics use cases * BS, MS, or PhD in a quantitative field such as Quantitative ...

Develop Python-based analytical models, forecasting solutions, simulations, and automation for financial and operational use cases * Build and maintain scalable datasets and analytical workflows ...

$63K - $78K/yr

## Senior Financial AnalystApplylocations: SSC Irving TXtime type: Full timeposted on: Posted Todayjob ... Experience with data and reporting tools such as SQL, Power BI, Python, R, or similar technologies ...

$95K - $111K/yr

If you're ready to build the future of finance alongside people who refuse to settle for \"good ... Familiarity with SQL, Python, or similar data tools for analysis and automation. * Exposure to ...

Expert programming skills in Python with experience in Java, C++, or Scala * 1-3 years of experience in financial services or FinTech * Experience developing applications using LLMs ; experience with ...

Lead Software Engineer (Python, AWS) Do you love building and pioneering in the technology space ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Accounting/Finance Corporate Headquarters Overview We are seeking a Lead Financial Data Analyst to ... Proficiency with Python, R or other analytical automation tools preferred * Knowledge of data ...

Uses advanced data analysis tools, including SQL, R, and Python, to integrate data from multiple ... Familiarity with federal financial systems preferred * Experience in providing documents ...

$90K - $105K/yr

## Senior Associate, Financial Planning & AnalysisApplyremote type: Partially Remotelocations: Boston ... Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar ...

Knowledge of programming or scripting languages (Python, JavaScript, etc.) * Experience with Financial planning & analysis (CFA), experience with pre‑IPO companies, supporting rapid growth and ...

... financial and investment data assets. * Build robust ETL/ELT pipelines that integrate structured ... Apply advanced SQL and Python skills to design data transformations, automate processes, improve ...

$63K - $78K/yr

SQL, Python, or Power Query skills applied to finance data. * Experience in a multi-site, multi-entity, or private equity-backed organization. * Exposure to standard costing, bills of material, and ...

$84K - $101K/yr

... their financial goals. Job Overview: This is a unique opportunity to help build and scale a ... The ideal candidate is a strong Python backend engineer with deep experience building data ...

Lead Software Engineer (Python, AWS, AI, Snowflake Databricks) Do you love building and pioneering ... their financial journeys and beyond. What You'll Do: * Lead a portfolio of diverse technology ...

$110K - $130K/yr

Strong programming skills in Python and SQL. Experience in other languages is a plus. * Experience with visualization tools and packages is a plus. * Advanced math/quantitative finance skills, e.g ...

New

At Bank of America, we are guided by a common purpose to help make financial lives better through ... Refine and extend the Quantitative Finance (\"QF\") C++ and Python pricing libraries to ensure ...

At Bank of America, we are guided by a common purpose to help make financial lives better through ... Refine and extend the Quantitative Finance ("QF") C++ and Python pricing libraries to ensure ...

We are a longstanding leader in financial planning and advice, a global asset manager and an ... NET/ Python and SQL * Hands-on experience with AWS architecture and services (Glue, Lambda, API ...

New

$80K - $109K/yr

... Python, JSON/XML, SFTP, and event‑based integration patterns. * You have a strong understanding of Accounting and Finance processes, including Procure-to‑Pay (P2P), Record-to‑Report (R2R ...

Senior Lead Software Engineer, Back End (Go, Python, Java) Do you love building and pioneering in ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Showing results 21-40

Python Financial information

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What are popular job titles related to Python Financial jobs in Kentucky?

For Python Financial jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Python Financial jobs in Kentucky look for?

The top searched job categories for Python Financial jobs in Kentucky are:

Infographic showing various Python Financial job openings in Kentucky as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Financial Model Risk Management Lead

On-site

$164K - $224K/yr

Other

Medical, Dental, Vision

Posted 22 days ago


Key responsibilities

  • Perform independent validation and ongoing monitoring of financial and analytics models, including ALM, allowance/loss forecasting, and decision-support analytics.

  • Lead end-to-end validation engagements on high-complexity, high-criticality models and identify model weaknesses and opportunities for improvement.

  • Collaborate with model owners and stakeholders across various departments to remediate validation findings and strengthen model governance.


Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About Enterprise Risk & Internal Audit

The Enterprise Risk & Internal Audit department protects affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth.

About the Team

We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company.

What You'll Do:
  • Perform independent challenges of financial and analytics quantitative models - including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics - through rigorous validation and ongoing monitoring
  • Lead end-to-end validation engagements on high-complexity, high-criticality models
  • Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders
  • Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance
  • Partner cross-functionally to implement and maintain the company's MRM framework
  • Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests
What We Look For:
  • 4-6 years of professional experience in related technical areas such as model development, model validation, quantitative finance, or data analytics - with meaningful exposure to financial and/or analytics model validation
  • Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting
  • Experience in credit underwriting, credit risk management is a plus
  • Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL); comfort reviewing models built in Excel, Python, Databricks, or similar environments
  • Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases
  • BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science
  • Detail-oriented and intellectually curious about data, models, and business context; skilled at critical thinking and structured problem-solving
  • Extraordinary interpersonal and verbal/written communication skills - able to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Pay Grade - M

Equity Grade - 8

Employees new to affirm typically come in at the start of the pay range. affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

  • Health care coverage - affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of affirm at a discount

We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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