Sr. Data Scientist (Python)

Cybrient Technologies Verified

Job Description

Senior Data Scientist (Python) – Risk Technology Department

As a Senior Data Scientist (Python) in the Risk Technology Department, you will leverage your expertise in analytics and technology to enhance risk management capabilities and provide critical insights for decision-making. Reporting to the Head of Risk Technology, you will work closely with cross-functional teams to design, implement, and optimize tools for risk assessment and reporting in a fast-paced commodity trading environment.

About Cybrient Technologies
Cybrient Technologies is a leader in delivering cutting-edge technology solutions for businesses worldwide. We are recruiting on behalf of one of the world’s leading commodity trading companies, connecting markets and advancing the energy transition. This organization plays a vital role in supporting the global energy supply chain by trading, structuring finance, and investing strategically into critical assets.

Key Responsibilities:
1. Risk Analytics & Modeling:
- Develop advanced Python-based models to analyze and explain profit and loss drivers across various commodity sectors.
- Build and refine risk assessment tools to support linear and nonlinear commodity risks, FX, and interest rate exposure analysis.

2. Reporting & Insights:
- Deliver actionable insights through interactive and scalable reports, ensuring alignment with business strategies.
- Collaborate with trading desks to provide real-time visibility into risk positions and exposures.

3. Technology Enablement:
- Enhance and automate risk reporting processes by leveraging Python and SQL, improving efficiency and accuracy.
- Design and maintain robust data pipelines and analytical tools to streamline risk workflows.

4. Stakeholder Collaboration:
- Work closely with the Head of Risk Technology and other key stakeholders to align technology solutions with business needs.
- Communicate technical concepts effectively to non-technical audiences.

5. Continuous Improvement:
- Identify opportunities for innovation in risk management processes and tools.
- Mentor junior team members and contribute to the overall growth of the Risk Technology team.

Our Expectations:
1. Technical Expertise:
- Advanced proficiency in Python, with a focus on libraries such as Pandas, NumPy, and Scikit-learn for data analysis and modeling.
- Strong SQL skills for managing and querying large datasets.
- Familiarity with risk management tools and frameworks; big data technologies are not mandatory but considered a plus.

2. Problem-Solving & Business Acumen:
- Demonstrated ability to solve complex problems with a commercial mindset.
- Experience working in commodity trading, financial markets, or similar fast-paced environments.

3. Soft Skills:
- Excellent communication and interpersonal skills, with a proactive and autonomous work style.
- Ability to take initiative and drive projects to completion in a collaborative environment.

4. Education & Experience:
- Bachelor’s degree in a quantitative field (e.g., Mathematics, Computer Science, Statistics, or Finance); a Master’s or PhD is a plus.
- 5+ years of experience in data science, analytics, or quantitative roles, preferably within trading or financial environments.

Why Join Us?
• Be part of a highly dynamic and innovative team working for a global leader in commodity trading.
• Work at the cutting edge of risk technology, directly impacting strategic decision-making.
• Enjoy a supportive culture that values innovation, collaboration, and professional growth.