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Python Finance Jobs in Dallas, TX (NOW HIRING)

Senior Python-AI Engineer Agentic Systems

Irving, TX · On-site

$116K - $157K/yr

Senior Python-AI Engineer, Agentic Systems Citi is building some of the most consequential AI ... This is an opportunity to shape the next generation of AI-powered financial technology at one of ...

Senior Python-AI Engineer Agentic Systems

Irving, TX · On-site

$116K - $157K/yr

Senior Python-AI Engineer, Agentic Systems Citi is building some of the most consequential AI ... This is an opportunity to shape the next generation of AI-powered financial technology at one of ...

Python PySpark Developer

Plano, TX

$48 - $66.25/hr

... of financial industry and their IT systems Preferred qualifications, capabilities, and skills Expert in one or more programming language(s) preferably Java AWS Associate level certification in ...

Required Skill and Experience • Experience in Python- Design and develop scalable web ... Overview The Infosys Financial Services unit is a global leader in driving digital transformation ...

Lead Software Engineer (Python)

Richardson, TX · Hybrid

$127K - $156K/yr

Python pyspark, Terraform, APIs, JSON, Angular, React * AWS (Lambda, EC2, SQS, S3, Cloudfront, API ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

Lead Software Engineer (Python)

Richardson, TX · On-site

$127K - $156K/yr

Python pyspark, Terraform, APIs, JSON, Angular, React * AWS (Lambda, EC2, SQS, S3, Cloudfront, API ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

Job Title: Sr. QA (python, automation) on W2 Location: Pittsburgh, PA or Dallas, TX/Strongsville ... Previous experience in Finance * Database background and automation experience. Describe the role ...

Showing results 41-60

Python Finance information

See Dallas, TX salary details

$13

$57

$85

How much do python finance jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python finance in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What are the key skills and qualifications needed to thrive as a Python Finance professional, and why are they important?

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

What are popular job titles related to Python Finance jobs in Dallas, TX?

For Python Finance jobs in Dallas, TX, the most frequently searched job titles are:

Infographic showing various Python Finance job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Senior Python-AI Engineer Agentic Systems

Citigroup, Inc.

Irving, TX • On-site

$116K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 174 rated banks


Job description

Senior Python-AI Engineer, Agentic Systems
Citi is building some of the most consequential AI solutions in global financial services, and this Senior AI Engineer role sits at the heart of that mission - designing and developing production-grade Agentic AI systems for Funds Transfer Pricing and Financial Hedging platforms. You will take ownership of complex AI agent architectures from concept through to global-scale deployment, driving automation and decision intelligence across critical financial workflows. This is an opportunity to shape the next generation of AI-powered financial technology at one of the world's leading institutions.
Responsibilities
  • Design and build multi-agent systems where autonomous agents collaborate to solve complex, real-world business problems across financial platforms.
  • Develop and optimize Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, and retrieval pipelines, to improve the accuracy and reliability of AI-generated outputs.
  • Implement planning and reasoning capabilities using knowledge graphs, rule-based reasoning, and search algorithms that enable agents to execute multi-step workflows reliably.
  • Construct resilient agent architectures with built-in mechanisms for error recovery, self-correction, and feedback-driven improvement to maintain performance in production environments.
  • Integrate large language models (LLMs), predictive models, and reasoning frameworks into agent systems that support complex financial decision-making workflows.
  • Build APIs, tools, and microservices that connect AI capabilities with enterprise applications, enabling seamless integration at scale.
  • Optimize AI systems for low latency and high throughput, applying techniques such as response streaming, caching, and token usage optimization to ensure performance and cost-effectiveness.
  • Apply current AI research to real business challenges and collaborate with engineers across the team to elevate AI development practices and foster engineering excellence.
  • Stay current with state-of-the-art research and apply it to solve business problems, identifying opportunities for innovation
  • Collaborate with and mentor other engineers on AI best practices, fostering a culture of engineering excellence within the team.

Required Qualifications & Skills
  • 4 or more years of professional experience in software development and system design, with a demonstrated history of delivering large-scale production systems.
  • Proficiency in Python and SQL, with hands-on experience building production-quality Agentic AI solutions using frameworks such as LangChain, LlamaIndex, or equivalent tools.
  • Practical experience developing multi-agent systems using frameworks such as Google ADK, LangGraph, AutoGen, or CrewAI, including implementation of planning, reasoning, and memory systems.
  • Applied knowledge of large language models (LLMs) within agentic architectures, including designing and integrating APIs for AI services.
  • Advanced skills in Prompt and Context Engineering, with the ability to structure, compress, and optimize information for consistent and high-quality model performance.
  • Experience working with Vector Databases as part of AI retrieval and memory architectures.

Beneficial Skills & Qualifications
  • Experience working within the financial services industry, particularly in areas such as Funds Transfer, Pricing, Hedging, or Treasury technology.
  • Proficiency in Java as a secondary programming language alongside Python.
  • A Master's degree in Computer Science or a closely related field.

What We Offer
At Citi, you will work alongside talented engineers on technology that operates at global scale and drives real impact across financial markets. This is a high-visibility role within a firm-wide AI modernization initiative, offering the technical scope and career momentum that comes with building systems that matter.
  • A hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful in-person collaboration.
  • The opportunity to work on a firm-wide AI initiative with broad organizational impact, giving your work visibility at the highest levels of the business.
  • Access to continuous learning and professional development, with exposure to cutting-edge AI research and the tools to apply it in production.
  • Collaboration with a high-caliber engineering team where knowledge sharing, mentorship, and technical growth are part of how the team operates every day.
  • Competitive compensation and a comprehensive benefits package that supports your financial wellbeing and long-term security.
  • Wellbeing and family support programs designed to help you maintain balance across all areas of life.
  • The scale and reach of a global institution, with the ability to see the direct effect of your engineering work across international markets and platforms.

Build the AI systems that power global financial decision-making - apply now to join Citi's Agentic AI engineering team and make your mark on technology that operates at real-world scale.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$107,120.00 - $160,680.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Sep 01, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US