At a Glance
- Tasks: Manage pricing and valuation of equity autocallable products with a focus on accuracy and transparency.
- Company: Dynamic financial firm located in London, specialising in innovative trading solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Join a cutting-edge team and make an impact in the world of finance and analytics.
- Qualifications: Advanced degree in a quantitative field and strong coding skills required.
The predicted salary is between 36000 - 60000 £ per year.
This role sits at the intersection of trading, risk, and quantitative analytics, focusing on the accurate pricing and valuation of equity autocallable products. You will own the end‑to‑end valuation process, ensuring robust daily P & L, transparent attribution, and strong model governance across a complex structured products portfolio.
Responsibilities
- Own the official end‑of‑day marking and P & L production for all equity autocallable products, ensuring prices are accurate, consistent, and aligned with market data and internal policies.
- Decompose daily and periodic P & L into clear components—including market movements (Greeks‑based P & L), idiosyncratic events, trading activity, and other factors—to provide transparent explanations to traders, risk, finance, and senior management.
- Calibrate model and reserve parameters to observable market datasets (e.g., volatility surfaces, correlations, dividends) and maintain robust calibration methodologies and documentation.
- Support the testing, validation, and rollout of new pricing models; compute, review, and post appropriate model reserves in line with model risk policies.
- Monitor portfolio valuations versus counterparty marks, investigate and reconcile material differences, and help drive fair‑value and dispute resolution processes.
- Design and enhance systematic controls to track lifecycle events for autocallable products (e.g., coupon payments, barrier events, calls), ensuring accurate reflection in positions, valuations, and P & L.
Qualifications
- Advanced degree (or equivalent) in a quantitative discipline such as Engineering, Mathematics, Physics, or similar, with at least 3 years of relevant experience in equity derivatives, structured products, or quantitative finance.
- Advanced knowledge of equity derivatives products, their risk profiles (Greeks), and common valuation methodologies for structured products and exotics.
- Strong coding skills (e.g., Python, C++, or similar) and the ability to work efficiently with large datasets, automation, and analytics tools.
- Highly detail‑oriented, with a strong sense of ownership, rigor, and accountability in pricing, controls, and documentation.
- Collaborative team player with strong communication skills and a willingness to support and partner with trading, risk, technology, and operations.
Equity Portfolio & Pricing Valuations employer: Millennium
Millennium is an exceptional employer that fosters a culture of innovation and collaboration, empowering its employees to take ownership of their ideas while providing robust support through a global network. Located in a dynamic environment, the firm offers unparalleled opportunities for professional growth and development, particularly for Java Developers in Algo Development Technology, where you can work on cutting-edge trading systems and enhance your expertise in a fast-paced setting. With a commitment to continuous learning and a focus on impactful results, Millennium stands out as a place where talented individuals can thrive and make a significant difference.
StudySmarter Expert Advice🤫
We think this is how you could land Equity Portfolio & Pricing Valuations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to equity derivatives and structured products. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your coding skills! If you're proficient in Python or C++, consider working on a small project that demonstrates your ability to handle large datasets or automate processes. This can be a great talking point in interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Equity Portfolio & Pricing Valuations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Equity Portfolio & Pricing Valuations role. Highlight your quantitative background and any relevant experience in equity derivatives or structured products to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to our team. Be specific about your experience with pricing models and P&L production.
Show Off Your Coding Skills:Since coding is key for this position, mention any relevant programming languages you’re proficient in, like Python or C++. If you've worked with large datasets or automation tools, make sure to include that too!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Millennium
✨Know Your Products Inside Out
Make sure you have a solid understanding of equity autocallable products and their valuation methodologies. Brush up on the Greeks and how they impact pricing. Being able to discuss these concepts confidently will show that you're not just familiar with the theory but can apply it practically.
✨Demonstrate Your Analytical Skills
Prepare to showcase your coding skills, especially in Python or C++. You might be asked to solve a problem or analyse a dataset during the interview. Practising with real-world data sets can help you feel more comfortable and demonstrate your ability to work with large datasets effectively.
✨Communicate Clearly and Collaboratively
Since this role involves working closely with traders, risk, and finance teams, practice articulating complex ideas in a clear and concise manner. Think about examples from your past experiences where you successfully collaborated with different teams and how you communicated your findings.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time scenarios. For instance, you might be asked how you would handle discrepancies in portfolio valuations. Prepare by thinking through potential challenges you’ve faced in previous roles and how you resolved them.
