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For Companies At a Glance
- Tasks: Analyse data, build predictive models, and collaborate with traders to drive investment decisions.
- Company: Nanook, a specialist investment manager in global energy markets.
- Benefits: Competitive salary, bonus, pension, healthcare, and life insurance.
- Why this job: Join a research-driven team making real impact in financial markets.
- Qualifications: PhD in relevant fields and experience with statistical modelling and programming.
- Other info: Collaborative culture with opportunities for intellectual growth and real-world application.
The predicted salary is between 36000 - 60000 £ per year.
Nanook is a specialist investment manager applying rigorous quantitative modelling to global energy markets. We are expanding our Quant Fundamentals team and are looking for a Quant Analyst to build models that explain and predict complex real-world systems.
The Role
- You’ll join a team of quants working on large-scale models across global Gas and Power markets, using data to quantify relationships, test hypotheses and generate forecasts.
- Analyse large, noisy datasets to identify and quantify relationships between variables.
- Build and validate predictive models to explain system behaviour.
- Estimate model parameters and assess uncertainty using appropriate statistical techniques.
- Apply machine learning and data science methods where useful.
- Work closely with analysts and traders to translate models into investment decisions.
What We’re Looking For
- Essential
- PhD (completed or near completion) in Applied Mathematics, Physics, Statistics, Computer Science or similar.
- Experience building statistical or predictive models from real-world data.
- Strong understanding of probability, inference and uncertainty.
- Experience validating models using out-of-sample testing or similar approaches.
- Programming experience in Python and/or R.
- Comfortable working with large datasets.
- Genuine interest in financial markets and hedge funds.
- Desirable
- Experience with machine learning, including neural networks.
- Familiarity with TensorFlow / Keras.
- Experience with SQL, git and taking models towards production.
Why Nanook?
- Research-driven modelling problems with real commercial impact.
- Collaborative, intellectually rigorous culture.
- Competitive salary and bonus.
- 8% pension, healthcare and life insurance.
Quantitative Analyst employer: NANOOK ENERGY ADVISORS LLP
Contact Detail:
NANOOK ENERGY ADVISORS LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Nanook on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best predictive models or analyses. We want to see how you tackle real-world data problems, so make sure to highlight your Python or R projects.
✨Tip Number 3
Ace the interview by practising common quantitative analyst questions. Brush up on your statistical techniques and be ready to discuss how you’ve applied them in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical and predictive models. We want to see how your skills in Python or R can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Quant Analyst role. Share your passion for financial markets and how your academic background aligns with our needs. Keep it engaging and personal!
Showcase Your Data Skills: When applying, emphasise your experience with large datasets and any machine learning techniques you've used. We love seeing how you’ve tackled real-world problems, so include specific examples that demonstrate your analytical prowess.
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 you’re keen on joining our team at Nanook!
How to prepare for a job interview at NANOOK ENERGY ADVISORS LLP
✨Know Your Numbers
Brush up on your statistical knowledge and be ready to discuss concepts like probability, inference, and uncertainty. Make sure you can explain how you've applied these in past projects or research.
✨Showcase Your Modelling Skills
Prepare to talk about specific models you've built or validated. Be ready to dive into the details of your approach, including any challenges you faced and how you overcame them. This is your chance to shine!
✨Get Familiar with the Tools
If you have experience with Python, R, SQL, or machine learning frameworks like TensorFlow or Keras, make sure to highlight that. Bring examples of how you've used these tools in real-world scenarios to back up your claims.
✨Demonstrate Your Interest in Finance
Since this role involves working closely with analysts and traders, show your genuine interest in financial markets. Be prepared to discuss recent trends or news in the energy sector and how they might impact modelling decisions.
