Analyze complex datasets, build predictive models, and present findings. Collaborate with engineers and stakeholders to drive data-driven decisions.
Job Description
Role Summary:
As a Data Scientist, you will analyze complex datasets, build predictive models, and generate insights that drive strategic decisions. You'll partner with engineers, researchers, and business leaders to turn data into actionable outcomes.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Objectives:
Skills and Preferred Qualifications:
Education:
About Citadel Securities:
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.
In accordance with applicable law, the base salary range for this role is $200,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
In accordance with applicable law, the base salary range for this role is $200,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Role Summary:
As a Data Scientist, you will analyze complex datasets, build predictive models, and generate insights that drive strategic decisions. You'll partner with engineers, researchers, and business leaders to turn data into actionable outcomes.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Objectives:
- Predictive Modeling: Develop and implement machine learning models to predict outcomes and optimize business processes
- Experimentation: Design and execute experiments to test hypotheses and validate model performance
- Data Exploration and Visualization: Conduct thorough data analysis and create visualizations to understand data patterns and trends
- Stakeholder Communication: Present findings and insights to stakeholders in a clear and actionable manner
Skills and Preferred Qualifications:
- 2+ years' experience in a fast-paced financial or similar environment
- Experience with alternative datasets
- Strong programming skills in Python or R; proficiency with Pandas, scikit-learn, TensorFlow
- Solid understanding of statistical methods and data analysis
- Skilled in SQL and ETL pipeline design; familiarity with big data tools (Spark, Kafka)
- Proficiency in data visualization tools (e.g., Tableau)
Education:
- Bachelor's degree or higher in a STEM field
About Citadel Securities:
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.
In accordance with applicable law, the base salary range for this role is $200,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
In accordance with applicable law, the base salary range for this role is $200,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Top Skills
Kafka
Pandas
Python
R
Scikit-Learn
Spark
SQL
Tableau
TensorFlow
Citadel Securities Sydney, New South Wales, AUS Office
Westpac Building, 60 Martin Place, Sydney, New South Wales, Australia, 2000
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