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Python Quantitative Algorithmic Trading Jobs in Kentucky

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

... involving complex trade-offs under uncertainty. You will collaborate with leaders across our ... Expertise in programming languages such as Python, R, or similar programming languages for data ...

All JobsPython Quantitative Algorithmic Trading JobsPython Quantitative Algorithmic Trading Jobs in Kentucky

Python Quantitative Algorithmic Trading information

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are popular job titles related to Python Quantitative Algorithmic Trading jobs in Kentucky?

For Python Quantitative Algorithmic Trading jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Python Quantitative Algorithmic Trading jobs in Kentucky look for?

The top searched job categories for Python Quantitative Algorithmic Trading jobs in Kentucky are:

What cities in Kentucky are hiring for Python Quantitative Algorithmic Trading jobs?

Cities in Kentucky with the most Python Quantitative Algorithmic Trading job openings:

Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in Kentucky as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, and 7% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Staff Data Scientist

Erlanger, KY • On-site

Atlas Air
See more jobs at Atlas Airexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Join Atlas Air Worldwide. Move the World with Us!
At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose.
If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here.
Position Summary: We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role - you'll be at the forefront of transforming Atlas Air through the power of data.
In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards - the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.
The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.
If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!
Major Accountabilities:
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
  • Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success metrics.
  • Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
  • Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
  • Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
  • Extract, transform, and analyze large datasets from various sources.
  • Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
  • Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
  • Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
  • Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
  • Stay current with emerging techniques and technologies in data science and machine learning.
  • Collaborate with data engineering to implement production-ready solutions.
  • Monitor model performance and iterate on solutions as needed.
  • Establish best practices and methodologies for the data science function.
  • Research and implement new methodologies and technologies to improve Atlas Air's data and AI/ML

Qualifications:
Must-Have:
  • Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of hands-on experience in a data science or similar analytical role, with a track record of impact.
  • Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
  • Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
  • Strong knowledge of statistical analysis and hypothesis testing.
  • Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
  • Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
  • Proven ability to translate business requirements into technical solutions.
  • Proven ability to apply software engineering best practices.
  • Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.

Nice-to-Have:
  • Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Domain expertise in aviation, transportation, or logistics.
  • History of technical leadership on significant data science initiatives.
  • Contributions to related research publications and/or open-source projects.
  • Experience with big data platforms (e.g., Spark/Databricks).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
  • Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)

Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" .
To view our Pay Transparency Statement, please click here: Pay Transparency Statement
Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package.
Pay Range
$165,000-$225,000 USD
At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

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