Are you a highly skilled and motivated Data Engineer/Analyst with a passion for risk management and margin analysis? Do you thrive in a fast-paced and dynamic environment? If so, we have an exciting opportunity for you to join our team at UBS. As a Data Engineer/Analyst for Risk & Margin, you will play a crucial role in managing and analyzing complex financial data to ensure the accuracy and integrity of our risk and margin processes. We are looking for individuals with a strong technical background, excellent problem-solving skills, and a keen eye for detail. If this sounds like you, we encourage you to apply and be a part of our innovative and collaborative team.
- Design and develop data pipelines to collect, process, and store large volumes of financial data for risk and margin analysis.
- Utilize various programming languages and database management systems to manipulate and analyze complex financial data.
- Collaborate with cross-functional teams to understand and document business requirements for risk and margin analysis.
- Apply statistical analysis techniques to identify patterns and trends in financial data, and provide insights for risk management decisions.
- Develop and maintain data models and data dictionaries to ensure consistency and accuracy of data.
- Monitor and troubleshoot data quality issues and implement solutions to improve data integrity.
- Stay updated on industry trends and advancements in data engineering and analytics to continuously improve processes and methodologies.
- Communicate technical findings and recommendations to non-technical stakeholders in a clear and concise manner.
- Participate in team meetings and contribute to the development of new risk and margin strategies.
- Adhere to data governance policies and procedures to ensure compliance with regulatory requirements.
- Mentor and train junior team members on data engineering and analytics best practices.
- Collaborate with IT teams to optimize data infrastructure and improve data processing efficiency.
- Proactively identify opportunities for process improvements and automation to increase efficiency and accuracy of risk and margin analysis.
Strong Analytical Skills: A Successful Data Engineer/Analyst In The Risk & Margin Department At Ubs Should Possess Excellent Analytical Skills To Analyze Large Datasets And Identify Potential Risks.
Proficiency In Programming Languages: The Role Requires A Strong Understanding Of Programming Languages Such As Java, Python, And Sql To Manipulate Data And Build Data Pipelines.
Knowledge Of Risk Management Principles: As The Role Involves Working With Sensitive Financial Data, It Is Crucial To Have A Strong Understanding Of Risk Management Principles And Techniques.
Experience With Data Visualization Tools: A Data Engineer/Analyst Should Be Proficient In Data Visualization Tools Such As Tableau Or Power Bi To Effectively Communicate Complex Data Insights To Stakeholders.
Understanding Of Financial Markets: A Solid Understanding Of Financial Markets And Instruments Is Essential To Identify Potential Risks And Provide Strategic Recommendations To Mitigate Them.
Financial Analysis
Machine Learning
Data Management
Reporting
Data Visualization
Data Mining
Statistical modeling
Database design
Risk assessment
Data governance
Margin analysis
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Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer/Analyst Risk & Margin in London, UK is between £50,000 and £80,000 per year. This may vary depending on the specific company, level of experience, and other factors. Some companies may offer higher salaries, especially for more experienced candidates, while others may offer lower salaries for entry-level positions. It is important to research the company and the role in order to negotiate a competitive salary.
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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.

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