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- Aufgaben: Develop and enhance quantitative models for market risk management using programming languages like F#, C++, and Python.
- Arbeitgeber: Join a dynamic team focused on cutting-edge technologies in market risk management.
- Mitarbeitervorteile: Work with innovative tools, enjoy a collaborative environment, and gain valuable experience in finance.
- Warum dieser Job: This role offers a chance to impact market risk solutions while working in a challenging and rewarding setting.
- Gewünschte Qualifikationen: Strong programming skills in C++, Python, and F; experience with Docker, Kubernetes, and CI/CD pipelines required.
- Andere Informationen: Collaborate with cross-functional teams and ensure operational excellence in a fast-paced financial environment.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Main Purpose: We are seeking an experienced Market Risk Financial Engineer to join our dynamic team. In this role, you will be responsible for developing, maintaining, and enhancing quantitative models and risk metrics used in our market risk management processes. You will also play a crucial role in automating data ingestion and analysis pipelines, ensuring data quality, and monitoring daily operations.
This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the development of robust market risk management solutions within a dynamic and challenging environment.
Knowledge Skills and Abilities, Key Responsibilities:
- Develop, rewrite, and expand code for quantitative models and risk metrics (VaR, Greeks, PnL) using programming languages such as F#, C++, and Python.
- Automate processes for daily ingestion and analysis of market data, ensuring efficient and reliable data processing.
- Validate data quality and ensure the accuracy of market data ingestion pipelines, implementing robust data quality checks and monitoring mechanisms.
- Monitor daily operations, ensuring timely ingestion, analysis, and reporting of market risk metrics and indicators.
- Escalate and resolve production issues related to data quality, risk metric breaches, or pipeline failures, collaborating with cross-functional teams as necessary.
- Support the setup and maintenance of the production environment, ensuring:
- Pipelines and containerized environments meet operational requirements for scalability, reliability, and performance.
- Code base structure adheres to best practices for maintainability, testability, and documentation.
Skills and Qualifications:
- Strong programming skills in languages such as C++, Python, and F#, with a proven ability to write clean, efficient, and maintainable code.
- Hands-on experience with containerization technologies like Docker and Kubernetes.
- Expertise in Continuous Integration/Continuous Deployment (CI/CD) pipelines and software architecture best practices.
- Solid understanding of market risk models and metrics, including Value-at-Risk (VaR), Greeks, and P&L calculations.
- Deep knowledge of market risk concepts and metrics, with a strong quantitative background.
- Proven experience managing production environments in a financial or quantitative setting, ensuring operational excellence and adherence to industry standards.
- Strong analytical, organizational, and leadership skills, with the ability to work independently and as part of a team.
- Excellent communication skills for stakeholder interaction, presenting complex technical information, and reporting.
Key Relationships and Department Overview:
- Front office teams
- Risk teams
- Risk IT
- Senior Management
#J-18808-Ljbffr
Market Risk Financial Engineer Arbeitgeber: Trafigura
Kontaktperson:
Trafigura HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Market Risk Financial Engineer
✨Tip Number 1
Make sure to showcase your programming skills in C++, Python, and F#. Highlight any projects where you've developed quantitative models or risk metrics, as this will demonstrate your hands-on experience and technical expertise.
✨Tip Number 2
Familiarize yourself with market risk concepts like VaR and Greeks. Being able to discuss these topics confidently during interviews will show that you have a solid understanding of the field and can contribute effectively to our team.
✨Tip Number 3
If you have experience with containerization technologies like Docker and Kubernetes, be prepared to discuss how you've used them in past projects. This knowledge is crucial for maintaining scalable and reliable production environments.
✨Tip Number 4
Demonstrate your ability to work collaboratively by sharing examples of how you've successfully interacted with cross-functional teams. Strong communication skills are essential for this role, so be ready to highlight your experiences.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Market Risk Financial Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Market Risk Financial Engineer position. Understand the key responsibilities and required skills, especially focusing on programming languages like C++, Python, and F#.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with quantitative models, risk metrics, and any relevant projects you've worked on. Be specific about your programming skills and any experience with containerization technologies like Docker and Kubernetes.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your analytical and problem-solving abilities, particularly in managing production environments and resolving data quality issues. This will show your capability to handle the challenges mentioned in the job description.
Tailor Your Application: Customize your CV and cover letter to reflect the language and requirements of the job description. Use keywords from the posting, such as 'market risk management', 'data ingestion', and 'CI/CD pipelines' to make your application stand out.
Wie du dich auf ein Vorstellungsgespräch bei Trafigura vorbereitest
✨Showcase Your Programming Skills
Be prepared to discuss your experience with programming languages like C++, Python, and F#. Highlight specific projects where you developed or enhanced quantitative models, and be ready to explain your coding approach and best practices.
✨Demonstrate Your Understanding of Market Risk
Make sure to articulate your knowledge of market risk concepts, including Value-at-Risk (VaR), Greeks, and P&L calculations. Prepare examples of how you've applied these metrics in previous roles to showcase your expertise.
✨Discuss Automation and Data Quality
Since the role involves automating data ingestion and ensuring data quality, be ready to talk about your experience with data pipelines. Share specific instances where you implemented robust data quality checks and how you monitored daily operations.
✨Highlight Your Team Collaboration Skills
This position requires collaboration with cross-functional teams. Prepare to discuss how you've worked effectively in team settings, resolved production issues, and communicated complex technical information to stakeholders.
