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- Tasks: Validate and enhance quantitative models for commodities, collaborating with cross-functional teams.
- Company: Join a high-end consultancy known for integrity and strong client relationships.
- Benefits: Competitive daily rate, dynamic work environment, and opportunities for professional growth.
- Other info: 5 days on-site in London with a focus on collaboration and career development.
- Why this job: Make a real impact in the financial services sector while working on innovative projects.
- Qualifications: Strong programming skills and proven experience in quantitative modelling required.
£850-£900pd Inside IR35
12 month initial contract
5 days on site in London
emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions.
We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine.
We are seeking a Senior Quantitative Modeller with a strong focus on model validation within the commodities space. This role is critical to strengthening and expanding quantitative capabilities as the business continues its strategic shift towards OTC products and explores new asset classes. The successful consultant will combine strong technical skills with deep product knowledge to support both internal stakeholders and client-facing initiatives.
Key Responsibilities
- Perform rigorous model validation across a range of commodity products
- Enhance, maintain, and extend existing quantitative models
- Collaborate closely with cross-functional teams including trading, risk, and technology
- Support and contribute to the transition towards increased OTC product coverage
- Improve client engagement through the development of robust and transparent modelling solutions
- Participate in the modelling and validation of new product offerings and asset classes
Key Requirements
- Strong programming skills in at least one of the following: Python, C++, or C#
- Proven experience in quantitative modelling and independent model validation
- Ability to work effectively with cross-functional teams
Senior Quant Modeller - Commodities in London employer: emagine Polska
Contact Detail:
emagine Polska Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Modeller - Commodities in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the commodities and finance sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative modelling projects. Whether it’s a GitHub repository or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with model validation and programming languages like Python or C++. Practise common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Senior Quant Modeller - Commodities in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Modeller role. Highlight your experience in model validation and any relevant programming skills like Python, C++, or C#. 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 commodities and how your skills can contribute to our team. Keep it concise but impactful – we love a good story that showcases your journey.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked on specific projects or models, mention them. We’re keen to see how you’ve applied your programming skills in real-world scenarios, especially in quantitative modelling.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at emagine Polska
✨Know Your Models Inside Out
Make sure you can discuss your previous quantitative models in detail. Be prepared to explain the methodologies you used, the challenges you faced, and how you validated your models. This will show your depth of knowledge and experience in model validation, which is crucial for this role.
✨Brush Up on Programming Skills
Since strong programming skills are a key requirement, ensure you're comfortable discussing your experience with Python, C++, or C#. You might be asked to solve a coding problem or explain your thought process, so practice coding challenges related to quantitative modelling beforehand.
✨Understand the Commodities Market
Familiarise yourself with current trends and challenges in the commodities market. Being able to discuss recent developments or regulatory changes will demonstrate your genuine interest in the field and your ability to contribute to the team’s objectives.
✨Showcase Collaboration Skills
This role involves working closely with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with trading, risk, or technology teams to enhance your credibility as a team player.