Shell | Jobs | Senior Quantitative Risk Analyst | BigDataKB.com | 09-02-22

We’re seeking someone who’s passionate about risk analysis and leaning towards our company’s continuous success. Here’s a role that will develop and grow your professional and personal skills, with the chance to make a real difference within a supportive, positive company.

Where you fit in

The Market Risk department is an exciting and growing team in Finance Operations. The team has been continuously absorbing newly migrated activities over the last seven years with continued growth and more complex work will continue to be absorbed into the teams. We have a front-line responsibility for risk measurement; deal valuation, exposure reporting and price validation.

The Quantitative Risk team is responsible for researching, implementing, prototyping, and supporting risk management metrics, models, and systems. The primary role for this position will be to the creation of innovative risk solutions as well as to analyze daily and real-time market information for an industry leading energy trader.

What’s the role?

As Senior Quantitative Risk Analyst, you are expected to support the design, development, and implementation of quantitative solutions for risk management. Ideas for these could come from within the team, or from other risk analysts who need help with implementing their vision with cutting edge software and advanced mathematics.

You are also expected to perform the following:

• Provide detailed analysis and documentation of methods, techniques, and findings. Well documented processes enable team members to build new achievements upon earlier work.
• Engage in innovative research tasks for the team and risk management such as designing methodologies to quantify risks which lie outside of our current established risk metrics.
• Investigate and manage large data sets, ensuring consistency and quality. Build tools to enable the data to be easily accessed by analysts across Risk. SQL and Python are the preferred languages for accessing and manipulating datasets within Shell.
• Develop tools for on-going portfolio reviews and producing deep-dive analysis for senior management. Well-presented analysis with key assumptions clearly explained will enable the analyst to work closely with key senior stakeholders in the Trading and Supply business.
• Drive understanding of the design and utilization of methodologies to assess risk/reward of the portfolio, including VaR back-testing, stress testing, scenario analysis, liquidity analysis.
• Ensure process excellence, identifying inefficiencies, inaccuracies, or bottlenecks in Risk processes. Ensuring that error-checking is a natural part of all processes, so output is ‘Right First Time’.
• Support digitalization and automation to smooth the flow of information across the business and to remove manual tasks. As the key owner of the large datasets that form the foundations of the analysis work of the whole risk department your role in ensuring this data is easily available and well organized is vital.
• Validate the output of and support the development of risk management systems and reports. Shell’s roadmap is to use big-data, machine learning and real time analytics to make the Trading and Supply business continue to be a success for the decades to come.

What we need from you

We’re keen to hear from professionals who have 5-9 years of solid experience in a Quantitative Risk role with a background in Financial or Energy trading company.

Further requirements are as follows:

• Postgraduate/ Advanced Degree (MS/PhD) in financial engineering, mathematical finance or similar.
• Understanding of financial, commodity and energy markets; derivative instruments and hedging techniques. Knowledge of energy markets as well as credit risk.
• Experience in scripting languages which enable data gathering and transformation such as Python or R. Other scripting languages such as C#, Java, Matlab also considered.
• Experience retrieving datasets from structured databases using SQL / Oracle.
• Intermediate to Advanced Excel skills such as pivot tables, lookups, VBA macros.
• Ability to work under pressure, formulate and articulate solutions and defend assumptions
• Ability to solve real world business problems using quantitative and computational techniques
• Reliable, dependable, and disciplined. Excellent attention to detail, methodical, organized.
• Resilient when working under pressure, with the ability to priories tasks to meet key deadlines.
• Good judgement to provide advice, question discrepancies, escalate issues.
• Continuous improvement mindset: utilizing tools to streamline and automate work to boost efficiency.
• Scientific mindset; identify, investigate, analyse, research, discuss, record, and resolve issues.
• Learner mindset; innovative and creative, excellent problem-solving capabilities.
• Ability to coach and mentor team members as well as members of other teams who require the knowledge or special skills that the Quantitative Risk team can provide.

Aside from the attributes above, we’d like to hear from individuals who has excellent communication skills, who brings diversity of thought, who is not afraid to speak up and who is comfortable challenging senior stakeholders and is flexible to work with colleagues across numerous time zones.