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- Tasks: Join our Trading Risk team to analyse and report on key risk metrics.
- Company: Dare is a leading energy trading company leveraging technology and data science.
- Benefits: Enjoy 38 days holiday, health insurance, gym membership, and a £5000 learning budget.
- Why this job: Be part of a dynamic team that empowers you to grow and make an impact.
- Qualifications: Bachelor's/master's in a technical field with advanced coding skills required.
- Other info: We celebrate diversity and are certified a ‘Great Place to Work’.
The predicted salary is between 36000 - 60000 £ per year.
We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves.
This is a key role within the Trading Risk and Operations team, you will be involved in business-critical key risk projects and be responsible for implementing and reporting risk metrics associated with the firm’s trading activities, providing valuable insight into market activities to allow the firm to make optimal investment decisions.
Further responsibilities include:
- On-going review and monitoring of the company and trading desks risk frameworks.
- Producing ad-hoc risk analysis for the team, desks, and senior management.
- Liaising with Trading and Tech teams, supporting daily market activities.
- Validating the accuracy and effectiveness of data sources used to produce various risk reports.
- Building and maintaining risk infrastructures, and ensuring documentation and controls are updated accordingly.
- Investigating when required abnormal data points by requesting further information from the Trading desks (e.g. hedging strategies), Tech team (e.g. data workflow), Exchange (e.g. Initial margin models), Clearers (e.g. Haircut Model), and other financial counterparties.
- Using a combination of Python, VBA, SQL, Tableau and other coding languages to enhance, automate and visualise key information/metrics sent to Trading and Senior Management.
- Participating in firm-wide initiatives, collaborating with wider teams internally and externally to provide meaningful solutions to meet the company goals.
What You’ll Bring:
- A bachelor's/master's in a technical field, quantitative finance, finance, economics, or statistics.
- Advanced coding skills (Python/APIs, SQL, VBA) and a strong understanding of databases.
- Knowledge of SQL.
- Knowledge of market risk concepts and models such as VAR, stress-testing, back-testing, and FX hedging strategies.
- Strong communication skills and proven ability to explain complex topics clearly to all audiences, including senior management.
- Ability to work independently and as part of a team in a fast-paced environment.
- Understanding of Exchange risk and margining models.
Desirable:
- Currently hold or working towards a professional risk/quantitative certification (CFA, FRM, CQF).
- Previous professional experience/exposure relating to Energy Commodity Futures and Options.
- Knowledge/experience in any of the following tools: Bloomberg, Platts, Reuters, Trayport, TT, ICE Connect, WebICE, CME Direct, SPAN GUIs.
Benefits & perks:
- Vitality health insurance and dental cover
- 38 days of holiday (including bank holidays)
- Pension scheme
- Annual Bluecrest health checks
- A personal learning & development budget of £5000
- Free gym membership
- Specsavers vouchers
- Enhanced family leave
- Cycle to Work scheme
- Credited Deliveroo dinner account
- Office massage therapy
- Freshly served office breakfast twice a week
- Fully stocked fridge and pantry
- Social events and a games room
Diversity matters. We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact. Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process. We’re also proud to be certified a ‘Great Place to Work’.
Trading Risk Analyst Trading Risk & Operations · London employer: Dare
Contact Detail:
Dare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Risk Analyst Trading Risk & Operations · London
✨Tip Number 1
Familiarise yourself with the specific risk metrics and models mentioned in the job description, such as VAR and stress-testing. Being able to discuss these concepts confidently during your interview will demonstrate your understanding of the role and its requirements.
✨Tip Number 2
Brush up on your coding skills, particularly in Python, SQL, and VBA. Consider working on small projects or exercises that involve data analysis and visualisation, as this will not only enhance your skills but also give you practical examples to discuss in your interview.
✨Tip Number 3
Network with professionals in the energy trading sector, especially those who work in risk analysis. Engaging with industry experts can provide insights into current trends and challenges, which you can reference during your application process to show your enthusiasm and knowledge.
✨Tip Number 4
Prepare to discuss your experience with collaboration across teams, particularly with Trading and Tech teams. Think of specific examples where you've successfully worked with different departments to achieve a common goal, as this aligns well with the collaborative culture at Dare.
We think you need these skills to ace Trading Risk Analyst Trading Risk & Operations · London
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Trading Risk Analyst position. Make sure you understand the key responsibilities and required skills, such as coding in Python, SQL, and VBA, as well as knowledge of market risk concepts.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your technical background, coding abilities, and any previous exposure to energy commodities or risk analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that demonstrate your ability to handle risk metrics and collaborate with trading and tech teams.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples in your application that illustrate your ability to explain complex topics clearly, especially to senior management. This could be through past experiences or projects.
How to prepare for a job interview at Dare
✨Showcase Your Technical Skills
Make sure to highlight your advanced coding skills in Python, SQL, and VBA during the interview. Be prepared to discuss specific projects where you've used these languages to solve problems or automate processes, as this role heavily relies on technical expertise.
✨Understand Market Risk Concepts
Familiarise yourself with key market risk concepts such as VAR, stress-testing, and FX hedging strategies. Be ready to explain these concepts clearly, as you will need to communicate complex topics to various stakeholders, including senior management.
✨Demonstrate Your Analytical Abilities
Prepare to discuss how you've conducted risk analysis in previous roles. Bring examples of how you've validated data sources or investigated abnormal data points, as this will show your ability to provide valuable insights into market activities.
✨Emphasise Team Collaboration
This role involves liaising with multiple teams, so be sure to share experiences that demonstrate your ability to work collaboratively. Highlight any past projects where you successfully partnered with trading or tech teams to achieve common goals.