At a Glance
- Tasks: Monitor daily P&L and Risk, prepare reports, and develop risk management frameworks.
- Company: Join a leading global Quant Trading business with diverse trading desks.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Why this job: Be part of an innovative team shaping the future of trading and risk management.
- Qualifications: Degree in a quantitative field; 3+ years in relevant roles; Python and SQL proficiency required.
- Other info: Passion for cryptocurrency and blockchain is a plus!
The predicted salary is between 43200 - 72000 £ per year.
We are recruiting for a Risk Associate to expand our in-business Risk and Reporting control function for the global Quant Trading business. Quant Trading business covers a variety of trading desks across cash, derivatives, volatility trading and others. This role will cover both P&L reporting and Risk monitoring with direct interaction with trading desks, central Finance team and other control functions.
Responsibilities:
- Responsible for daily monitoring and reporting of P&L and Risk, with commentaries of key drivers
- Prepare trading performance reports and analyses for senior management
- Contribute to the development of the trading risk management framework, drafting of risk policies and procedures for new and existing businesses, ensuring compliance with relevant regulatory requirements
- Perform quantitative risk analysis on market risk (e.g. VaR, stress testing, scenario analysis), with insightful commentaries to traders and senior management
- Set up and review trading limits systematically using scripting tools
- Monitor funding risk and ensure integrity of balance sheet capital funding and usage
- Work with trading desks to implement risk controls and ensure breaches are addressed on a timely basis and properly escalated
- Contribute to enhancing the control environment, work with quant developers to build automated trading controls, scripts and dashboards to monitor trading positions and balances real-time
Requirements:
- Degree or above in a quantitative discipline, with professional qualification such as CPA, CFA, FRM an added advantage
- Minimum 3 years of relevant working experience such as Product Control, Market Risk Management, Model Validation, with hands-on experience
- Broad understanding of financial products, knowledge of crypto products is a plus
- Proficient in Python and SQL
- Strong analytical skills, detailed oriented
- Hands-on, passionate about building, a product owner who can drive an initiative from start to finish
- Passionate about cryptocurrency and blockchain
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Associate, Trading Risk & Reporting, Quant Trading Team employer: Crypto.com
Contact Detail:
Crypto.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate, Trading Risk & Reporting, Quant Trading Team
✨Tip Number 1
Familiarise yourself with the specific trading products mentioned in the job description, such as cash, derivatives, and volatility trading. Understanding these products will help you engage more effectively during interviews and demonstrate your knowledge of the Quant Trading landscape.
✨Tip Number 2
Brush up on your quantitative risk analysis skills, particularly in areas like VaR, stress testing, and scenario analysis. Being able to discuss these concepts confidently will show that you're well-prepared for the responsibilities of the role.
✨Tip Number 3
Network with professionals in the Quant Trading field, especially those who work in risk management or reporting. This can provide you with valuable insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Demonstrate your proficiency in Python and SQL by working on relevant projects or contributing to open-source initiatives. Showcasing your technical skills through practical examples can set you apart from other candidates.
We think you need these skills to ace Associate, Trading Risk & Reporting, Quant Trading Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in risk management, trading, and quantitative analysis. Emphasise your proficiency in Python and SQL, as well as any professional qualifications like CPA, CFA, or FRM.
Craft a Strong Cover Letter: In your cover letter, express your passion for cryptocurrency and blockchain. Discuss how your background aligns with the responsibilities of the role, particularly in P&L reporting and risk monitoring.
Showcase Analytical Skills: Provide examples of your analytical skills in your application. Mention specific projects where you performed quantitative risk analysis or developed risk management frameworks, highlighting your attention to detail.
Highlight Team Collaboration: Since the role involves interaction with trading desks and finance teams, include experiences that demonstrate your ability to work collaboratively. Mention any instances where you successfully implemented risk controls or addressed breaches.
How to prepare for a job interview at Crypto.com
✨Showcase Your Quantitative Skills
Make sure to highlight your experience with quantitative analysis during the interview. Be prepared to discuss specific tools and methodologies you've used, such as VaR or stress testing, and how they relate to the role.
✨Demonstrate Industry Knowledge
Familiarise yourself with the latest trends in trading, especially in crypto products. Being able to discuss current market conditions and their impact on risk management will show your passion and understanding of the industry.
✨Prepare for Technical Questions
Expect technical questions related to Python and SQL. Brush up on your coding skills and be ready to solve problems or explain your thought process regarding data analysis and reporting.
✨Emphasise Communication Skills
Since the role involves interaction with trading desks and senior management, demonstrate your ability to communicate complex information clearly. Prepare examples of how you've effectively communicated insights or recommendations in past roles.