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About People in DART:
We are a diverse group of professionals with backgrounds in physics, engineering, finance, economics, and data science. You will work alongside experienced colleagues to further develop your analytical and quantitative skills. Your responsibilities will include building models and analytical applications to tackle real-world challenges, paving the way for a career as a risk management expert and leader.
Responsibilities:
Prepare detailed quantitative modeling and analysis for risk managers and senior management.
Synthesize and communicate complex risk models and results.
Conduct statistical analysis, quantitative modeling, and model risk controls.
Work with risk managers, businesses, and tech to design and build models for risk capture and stress testing.
Qualifications:
Undergraduate degree in a quantitative or technical discipline such as computer science, engineering, and quantitative finance.
Master’s degree or higher in quantitative disciplines a plus.
Knowledge of or interest in finance, markets, risk management. Prior experience not required.
Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems.
Proficient in Python, Java, or Scala in a Unix/Linux environment.
We offer:
Work in a challenging area of the financial industry with one of the world's leading companies with exposure to variety of products, processes and controls.
Cooperation with a high quality, international, multicultural and global team.
Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success.
Management supporting balanced and agile work (flexible working hours, home office).
Attractive benefits package (Benefit System, medical care, pension plan etc.).
A chance to make a difference with various affinity networks and charity initiatives.
Time Type:
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