Senior Quantitative Developer

Senior Quantitative Developer

Full-Time 51750 - 63250 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to develop innovative models for sustainable energy trading.
  • Company: Centrica Energy, a leader in renewable energy solutions.
  • Benefits: Flexible rewards, support for personal growth, and a focus on work-life balance.
  • Other info: Collaborative environment with opportunities across multiple European offices.
  • Why this job: Make a real impact on the future of energy while growing your career.
  • Qualifications: Master’s or PhD in a quantitative field and strong Python coding skills.

The predicted salary is between 51750 - 63250 £ per year.

Join us, be part of more.

We’re so much more than an energy company.

We’re a family of brands revolutionising how we power the planet.

We’re energisers.

One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities.

Here, you can find more purpose, more passion and more potential.

That’s why working here is #More Than ACareer.

We do energy differently – we do it all.

We make it, store it, move it, sell it and mend it.

Join us, be part of more.

We’re so much more than an energy company.

We’re a family of brands revolutionising how we power the planet.

We’re energisers.

One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities.

Here, you can find more purpose, more passion and more potential.

That’s why working here is #More Than ACareer.

We do energy differently – we do it all.

We make it, store it, move it, sell it and mend it.

About your team

At Centrica Energy, our mission is to move it.

We’re energy movers by nature.

We’re a global renewable energy trading company which helps move energy from source to use – powering businesses, homes, and societies as they transition to a new sustainable energy future.

If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

  • Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
  • Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
  • Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.
  • As a

Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in London, Aalborg and Antwerp with a broad remit to support the development, and use of, our pricing and risk management models and systems.

As well as consulting on software design, systems architecture and software engineering practices.

This role can be situated in either our London, Aalborg, Copenhagen or Antwerp office and the successful candidate will be required to:

  • Produce high quality increments to the team’s model library - working both individually and collaboratively.
  • Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.
  • Provide support to Trading & Origination on model usage and behaviour.
  • Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.

Here’s what we're looking for

  • Master’s Degree or Ph D qualification within science, computing, mathematics or other quantitative subject.

• Solid experience of code development in Python, including

  • Experience developing in an Agile environment
  • Use of math/stats & testing libraries, as well as modern build tools.
  • Ability to refactor code and work effectively with legacy systems.
  • Knowledge of Object Orientation, Software Architecture and Design Patterns.
  • Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus.
  • Experience with Dev Ops practices and tooling (CI/CD, containerization etc) is desirable.
  • Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.
  • Familiarity or high level of interest in Energy / commodity markets.
  • Strong Communicator and fluent in English language.
  • Strong interpersonal skills.

Why should you apply?

We’re not a perfect place – but we’re a people place.

Our priority is supporting all of the different realities our people face.

Life is about so much more than work.

We get it.

That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too.

Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www. morethanacareer. energy/centricaenergy

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you.

We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

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Senior Quantitative Developer employer: Centrica Energy

Centrica Energy is an excellent employer, offering a dynamic work culture in the heart of central London that fosters collaboration and innovation. Employees benefit from tailored financial and emotional support, alongside ample opportunities for professional growth within a fast-paced trading environment. Join us to be part of a team that values operational excellence and empowers you to make a meaningful impact in the energy sector.

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Contact Details:

Centrica Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Quantitative Developer

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We think you need these skills to ace Senior Quantitative Developer

Quantitative Analysis
Mathematical Modelling
Python Development
Agile Methodologies
Object-Oriented Programming
Software Architecture
Design Patterns

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Centrica Energy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Centrica Energy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Centrica Energy

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Centrica Energy!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.