At a Glance
- Tasks: Drive portfolio-wide alpha using machine learning and collaborate with top executives.
- Company: Goliaths, a leading firm in finance and technology.
- Benefits: Substantial compensation, hybrid work model, and opportunities for professional growth.
- Other info: Work closely with the CEO and PMs in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the finance sector with cutting-edge ML techniques.
- Qualifications: Deep ML experience, Python skills, C++17 knowledge, and research publication track record.
The predicted salary is between 72000 - 88000 £ per year.
Goliaths is hiring a mid-level Machine Learning Engineer for its London office on a hybrid basis.
The role collaborates directly with the CEO and a team of PMs to drive portfolio-wide alpha through foundational modelling and LLM-assisted efforts across equities, options & futures.
The candidate should have deep ML experience, Python proficiency, C++17 knowledge, and a track record of research publications in related modelling domains.
- DOE compensation is substantial."
ML Engineer (Finance) – Hybrid London, Alpha Modelling employer: Goliath Partners
Join a dynamic prop trading firm in London that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. With a strong focus on employee growth and development, this company provides ample opportunities for advancement in a high-performing environment, where each team member contributes to impressive revenue generation. Experience a vibrant work culture that encourages creativity and teamwork while being part of a well-respected entity in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Finance) – Hybrid London, Alpha Modelling
✨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 Goliath Partners!
✨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 ML Engineer (Finance) – Hybrid London, Alpha Modelling at Goliath Partners.
✨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 Goliath Partners.
✨Apply Directly through Our Website
When you find a suitable opening like ML Engineer (Finance) – Hybrid London, Alpha Modelling at Goliath Partners, 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 ML Engineer (Finance) – Hybrid London, Alpha Modelling
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 Goliath Partners, 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 Goliath Partners. 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 Goliath Partners
✨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 Goliath Partners!
✨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.
