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- Tasks: Monitor market risks and collaborate on innovative risk management projects using Python and AI.
- Company: Dynamic proprietary trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, performance bonuses, hybrid work, gym access, and health insurance.
- Why this job: Gain exposure to senior stakeholders and enhance your skills in a fast-paced trading environment.
- Qualifications: Knowledge of options risk management and programming experience, preferably in Python.
- Other info: Opportunity for career growth and direct mentorship from industry leaders.
The predicted salary is between 60000 - 80000 £ per year.
Are you interested in taking a step into a proprietary trading firm? Are you looking for a role that specifically involves facing off to senior stakeholders and traders?
You will be a Risk Analyst, working directly alongside the Global Head of Risk as well as getting exposure to the trading team. You will be working on market risk monitoring for options market-making, automated trading risk, and risk mitigation workstreams.
You will be collaborating with the global risk team to carry out risk management-focused project work using Python and AI tools. Part of this application process will involve you meeting with the Global Head of Risk, Risk Analyst, and the CRO, so you will need to have exposure to options risk management.
You will need to have some working knowledge of a programming language such as Python with experience using LLMs to enhance productivity.
Compensation is comprised of a base salary and a performance-based bonus - plus additional benefits such as hybrid working policies, onsite gym facilities, and health insurance.
Does this sound like it could be the next step in your career?
Risk Analyst at a Proprietary Trading Firm employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Analyst at a Proprietary Trading Firm
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for those interviews! Brush up on your options risk management knowledge and be ready to discuss how you’ve used Python in past projects. We want to see your skills in action!
✨Tip Number 3
Showcase your passion for trading! During interviews, share your thoughts on market trends and how you’d approach risk mitigation. This will help us see your enthusiasm and expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Risk Analyst at a Proprietary Trading Firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Risk Analyst role. Highlight your experience with options risk management and any relevant programming skills, especially in Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk analysis and how you can contribute to our team. Don’t forget to mention your exposure to senior stakeholders and traders, as that’s key for us.
Showcase Your Technical Skills: Since we’re keen on candidates with programming knowledge, make sure to highlight any projects or experiences where you've used Python or AI tools. This will help us see your technical capabilities right off the bat!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Saragossa
✨Know Your Risk Management Basics
Before the interview, brush up on your knowledge of options risk management. Be prepared to discuss specific strategies and tools you've used in the past. This will show that you understand the core responsibilities of the role and can engage meaningfully with senior stakeholders.
✨Showcase Your Python Skills
Since the role requires some programming knowledge, be ready to talk about your experience with Python. Consider preparing a small project or example where you've used Python for risk analysis or automation. This will demonstrate your technical skills and how they can benefit the team.
✨Prepare for Stakeholder Engagement
You'll be facing off against senior stakeholders, so practice articulating your thoughts clearly and confidently. Think of examples from your past experiences where you've successfully communicated complex risk concepts to non-technical audiences. This will highlight your ability to bridge the gap between technical and business perspectives.
✨Familiarise Yourself with AI Tools
As the role involves using AI tools, do some research on how these can enhance productivity in risk management. Be ready to discuss any relevant experience you have with LLMs or similar technologies. Showing that you're proactive about integrating new tools into your work will impress the interviewers.