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Python Financial Jobs in Kentucky (NOW HIRING)

$140 - $210/hr

... Python, and modern cloud data platforms.* Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures.* Experience supporting financial reporting ...

New

$120 - $180/hr

... Tier-1 financial institutions, top 10 U.S. national banks , or global consumer banking. * Strong expertise in SQL for querying and manipulating large datasets. * Proficiency in Python for data ...

New

$81 - $127/hr

Solid Python/Java programming skills , with experience in financial modeling, data analysis, and working with ML-driven workflows. * Experience interpreting, validating, or stress-testing ...

New

$90 - $150/hr

Identifyand prioritize opportunities where AI can improve financial analysis, operational ... Strongproficiencyin Python. * Working knowledge of SQL and experience with structured datasets.

New

$70 - $95/hr

DE designing and engineering automated data workstreams to analyze the underlying portfolios of BDCs and specialty finance companies; performing advanced coding in Python and SQL, alongside ...

New

$131 - $166/hr

Bachelor's degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a ... using Python, R, and SQL.* DE conducting portfolio performance attribution and risk analysis ...

New

$180 - $300/hr

Founded in 1980 as Aardvark Financial, TransMarket Group (TMG) is a privately held global markets ... Programming proficiency and experience (C++, Python) * Proficiency and experience in Linux ...

New

$101 - $186/hr

Key Responsibilities: • Valuation model development & Financial Forecasting: Design and develop ... Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop). • ...

$180 - $280/hr

C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability ...

$115 - $130/hr

Ability to handwrite 200+ lines of code in Python* A positive attitude and high energy level ... investors and financial advisors. With more than two decades of applied research and market ...

$170 - $300/hr

... financial reporting. Experience in constructing highly performant, scalable, bitemporal data models for data marts, attribution engines, and analytical processing layers.* Proficiency in Python-based ...

$180 - $240/hr

We build AI products for financial institutions and the professionals who power them, from ... such as Python, Go, Rust, or TypeScript.- Experience designing and building complex product ...

New

$108 - $162/hr

... or finance analytics roles.* Strong analytical and problem-solving skills with structured enterprise datasets.* Proficiency in Python for data analysis, modeling, and automation.* Ability to ...

New

$180 - $248/hr

Python, Scala, Java, SQL, or R * Have built solutions with public cloud providers such as AWS ... Experience supporting Financial Services clients is a plus * [Desired] Degree in a quantitative ...

$180 - $280/hr

We build AI products for financial institutions and the professionals who power them, from ... Proficiency in one or more backend languages, such as Python, Go, Rust, or TypeScript, and a strong ...

New

$120 - $150/hr

Master's degree in Economics, Business, Finance, Engineering or other Technical / Mathematical ... Proficiency in analytical tools such as Python, SQL, and Excel, as well as data visualization tools ...

New

$100 - $232/hr

Advanced technical proficiency in SQL, SAS, Python, BigQuery, or similar* Experience with predictive analytics, machine learning, financial modeling, or data science concepts* Demonstrated ability to ...

$100 - $232/hr

Advanced technical proficiency in SQL, SAS, Python, BigQuery, or similar * Experience with predictive analytics, machine learning, financial modeling, or data science concepts * Demonstrated ability ...

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 August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution.

$140 - $210/hr

Other

Posted 2 days ago

New


Job description

## Senior Data Platform EngineerApplylocations: Remote GAtime type: Full timeposted on: Posted Todayjob requisition id: R-101757**Job Description:**This role serves as the senior technical owner of the enterprise data platform supporting Finance, Accounting, Sales, Customer Success, Product, HR and Executive Analytics. The Senior Data Platform Engineer is responsible for the architecture, engineering, administration, security, reliability, and continuous modernization of NextGen's cloud data platform. The role combines hands-on engineering with technical leadership, ensuring trusted, scalable, and well-governed data that supports operational reporting, financial close, executive decision making, AI initiatives, and enterprise analytics.* Own the enterprise Snowflake data platform including administration, security, RBAC, warehouse management, cost optimization, monitoring, performance tuning, and operational reliability.* Design, develop, and maintain scalable ELT/ETL pipelines using Informatica, SQL, Python and cloud-native services.* Define enterprise data architecture, integration standards, data modeling patterns, and engineering best practices.* Lead design and implementation of data ingestion, transformation, orchestration, and delivery supporting enterprise analytics.* Support critical Finance processes including month-end close, bookings, ARR, revenue, cost, reconciliations, and executive reporting.* Own production operations including monitoring, observability, incident response, root-cause analysis, disaster recovery planning, and platform resiliency.* Administer AWS services supporting the data platform including S3, IAM, Secrets Manager and related integrations.* Partner with Finance, Accounting, Product, Sales, Customer Success, HR, and IT to translate business requirements into scalable technical solutions.* Establish data quality, validation, reconciliation, lineage, metadata, and governance standards.* Develop automation for deployments, operational support, testing, monitoring, and platform administration.* Mentor engineers, perform architecture and code reviews, and provide technical leadership across the BI and Data Engineering organization.* Develop and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer artifacts.* Evaluate emerging technologies and recommend improvements to scalability, security, performance, and operational excellence.* Perform other duties supporting enterprise data engineering objectives.## ## Education* Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Business, Finance, or related discipline.* Master's degree preferred or equivalent combination of education and experience.## ## Experience* 8+ years of enterprise data engineering experience.* Expert experience with Snowflake, SQL, Informatica, Python, and modern cloud data platforms.* Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures.* Experience supporting financial reporting, reconciliations, and mission-critical production data platforms.* Experience administering cloud platforms including AWS services supporting enterprise data engineering.* Experience leading technical architecture, mentoring engineers, and influencing engineering standards.## ## Knowledge, Skills & Abilities* Advanced SQL, Python, and data engineering practices.* Snowflake administration, security, optimization, and performance tuning.* Informatica Intelligent Data Management Cloud / PowerCenter or equivalent integration technologies.* AWS (S3, IAM, Secrets Manager) and cloud-native integration patterns.* Enterprise data modeling, governance, metadata, lineage, and data quality.* CI/CD, source control, monitoring, observability, automation, and DevOps practices.* Strong communication, collaboration, mentoring, and technical leadership skills.* Ability to influence architecture and engineering decisions across matrixed teams without direct authority.## ## Preferred Qualifications* Power BI administration and semantic modeling.* Financial systems and ERP data integration.* Experience with enterprise governance and AI-ready data platforms.* Experience leading modernization of enterprise data platforms.NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr