Python Dash Plotly Jobs (Flexible Options) in Texas

We are seeking a highly motivated and skilled quantitative developer to join our natural gas trading and fundamentals team. The ideal candidate is a technology-driven problem solver with a passion for building high-quality, robust software solutions. This role focuses on designing, developing, and maintaining desk tools that directly impact trading strategy and analytics. While experience in energy markets is a significant plus, the most critical requirement is a strong background in software engineering and a proven ability to build effective applications. Responsibilities Design, develop, and maintain high-performance desk tools for trade signal generation, risk management, and data visualization. Implement and productionize quantitative models developed by the fundamentals and trading team. Build and automate robust, scalable data pipelines using Python and SQL to process market, weather, and storage data. Develop and maintain dynamic web-based dashboards and visualization tools for the trading group using frameworks like Dash, Plotly, or React. Collaborate closely with traders and quantitative analysts to understand their needs and translate requirements into effective software solutions. Build a culture of responsible finance, good governance and supervision, expense discipline, and ethics. Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services. Adhere to all policies and procedures as defined by your role which will be communicated to you. Obtain and maintain all registrations/licenses required for your role within the appropriate timeframe. Qualifications 3–8 years of experience in a quantitative development role. Experience in a financial or trading environment is a strong plus. Expert proficiency in Python and software engineering best practices. Proven experience building and maintaining front‐end applications or complex dashboards. Experience working with large datasets, APIs, relational databases (SQL) and/or cloud infrastructure. Strong understanding of time‐series analysis, statistical modeling, and machine‐learning techniques. Experience leveraging AI-assisted development and analytical tools is a plus. Knowledge of U.S. natural gas markets, infrastructure, or other energy markets is a significant plus but not mandatory. Excellent communication skills and a collaborative mindset. Education Bachelor's or University degree. Master's degree preferred. Location and Compensation Primary Location: Houston, Texas, United States. Salary Range: $175,000.00 – $250,000.00 per annum. Benefits In addition to salary, Citi's offerings may also include discretionary and formulaic incentive and retention awards. Employees may receive medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Paid time off packages include planned vacation, unplanned sick leave, and paid holidays. For more information about Citi employee benefits, visit citibenefits.com. Offerings may vary by jurisdiction, job level, and date of hire. EEO Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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. #J-18808-Ljbffr