Are you a highly analytical and detail-oriented individual with a strong understanding of quantitative risk models? Do you have a passion for utilizing data to identify potential risks and develop effective mitigation strategies? If so, we are seeking a talented Quantitative Risk Modeler/Analyst to join our team at UBS. In this role, you will have the opportunity to work with cutting-edge technology and collaborate with a dynamic team of professionals to ensure the safety and stability of our organization. We are looking for someone with a proven track record in risk modeling, a strong understanding of financial markets, and excellent communication skills. If you are ready to take on a challenging and rewarding role in a global financial institution, we invite you to apply today!
- Develop and implement quantitative risk models to identify potential risks within the organization.
- Utilize data and statistical analysis to assess and measure risks in various areas, such as market, credit, and operational risk.
- Collaborate with cross-functional teams to gather and analyze data, and provide insights and recommendations for risk mitigation strategies.
- Stay up-to-date with industry best practices and regulatory requirements related to risk management and incorporate them into risk models.
- Conduct stress testing and scenario analysis to assess the resilience of the organization to potential adverse events.
- Communicate complex risk information to stakeholders in a clear and concise manner.
- Monitor and evaluate the effectiveness of risk management strategies and make recommendations for improvements.
- Work with IT teams to ensure the accuracy and integrity of data used in risk models.
- Develop and maintain documentation of risk models and processes.
- Mentor and train junior team members in risk modeling and analysis techniques.
Strong Analytical And Quantitative Skills: A Quantitative Risk Modeler/Analyst At Ubs Should Possess Excellent Numerical And Statistical Abilities To Effectively Analyze And Interpret Complex Financial Data.
Knowledge Of Financial Markets And Products: This Role Requires A Deep Understanding Of Financial Markets, Instruments And Their Associated Risks, Including Credit, Market, And Operational Risks.
Proficiency In Programming And Data Analysis Tools: The Ideal Candidate Should Have Advanced Skills In Programming Languages Such As Python, R, Or Sql, As Well As Experience Working With Data Analysis Tools Like Sas Or Matlab.
Experience In Risk Modeling And Stress Testing: A Strong Background In Developing And Implementing Risk Models And Stress Testing Scenarios Is Essential For This Role.
Excellent Communication And Presentation Skills: As A Key Member Of The Risk Management Team, The Quantitative Risk Modeler/Analyst Should Be Able To Effectively Communicate Complex Risk Concepts To Various Stakeholders, Including Senior Management And Regulators.
Risk Management
Quantitative Research
Data Analysis
statistical analysis
Time series analysis
Monte Carlo simulation
Portfolio optimization
Mathematical modeling
Derivative pricing
Financial risk assessment
Market Risk
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Quantitative Risk Modeler/Analyst in Poland is between 9,000-13,000 PLN per month, which is equivalent to approximately $2,400-$3,500 USD per month. However, this can vary depending on the specific industry, company, and level of experience. Some senior level positions may offer higher salaries.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
UBS is a global firm providing financial services in over 50 countries. The company provides wealth management, asset management, and investment banking services for private, corporate, and institutional clients worldwide.
Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started