At a Glance
- Tasks: Partner with teams to develop analytics and drive technical solutions in a dynamic environment.
- Company: Join a market-leading global hedge fund known for innovation and cutting-edge technology.
- Benefits: Attractive salary, bonuses, and benefits while working on complex software solutions.
- Other info: Collaborative culture with opportunities for growth and learning in the commodities sector.
- Why this job: Make an impact by solving challenging problems with some of the brightest minds in finance.
- Qualifications: Strong tech skills in Python, experience with complex systems, and a solid academic background.
The predicted salary is between 40000 - 50000 £ per year.
Fantastic opportunity to join an industry-leading global market maker, using innovative and cutting-edge technology. Forget the stuffy world of finance you thought you knew; developers here are tech-driven and truly world-class.
Now looking to expand their Commodities team with a desk-aligned engineer, this role offers the opportunity to:
- Partner with trading, research and data teams to develop core analytics and deliver key initiatives
- Understand business challenges and drive technical/quantitative solutions
- Work with large datasets and build data analytics trading tools
- Integrate data and insights into models and investment processes
You’ll be expected to be a self-starter who demonstrates a strong sense of ownership, execution and the ability to work in a hands-on collaborative environment.
Requirements
- Excellent technology skills. Fluent in Python or comparable language. Experience using multiple programming languages is desirable.
- Experience with complex, multi-site, systems architectures
- Strong Unix operating system knowledge and exposure to a variety of database technologies
- Exposure to commodity markets would be advantageous
- Outstanding academic record: BS, MS or PhD in Computer Science/Physics; or equivalent experience
Benefits
- Significant salary + bonus + benefits
- Build complex software solutions to solve challenging problems in agile environment
- Work with some of the smartest minds in the industry from a range of backgrounds
Desk-Aligned Engineer Commodities- Market-Leading Global Hedge Fund employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Desk-Aligned Engineer Commodities- Market-Leading Global Hedge Fund
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PVH (Tommy Hilfiger/Calvin Klein)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Desk-Aligned Engineer Commodities- Market-Leading Global Hedge Fund at PVH (Tommy Hilfiger/Calvin Klein).
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PVH (Tommy Hilfiger/Calvin Klein).
✨Apply Directly through Our Website
When you find a suitable opening like Desk-Aligned Engineer Commodities- Market-Leading Global Hedge Fund at PVH (Tommy Hilfiger/Calvin Klein), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Desk-Aligned Engineer Commodities- Market-Leading Global Hedge Fund
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PVH (Tommy Hilfiger/Calvin Klein), 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 PVH (Tommy Hilfiger/Calvin Klein). 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 PVH (Tommy Hilfiger/Calvin Klein)
✨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 PVH (Tommy Hilfiger/Calvin Klein)!
✨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.
