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- Tasks: Lead machine learning strategy and build predictive models for financial markets.
- Company: DTG Capital Markets, a dynamic player in the finance sector.
- Benefits: Attractive salary, collaborative team, and intellectually stimulating work environment.
- Why this job: Make a real impact with innovative algorithms in a fast-paced trading environment.
- Qualifications: Proven leadership in machine learning and quantitative trading; strong communication skills.
- Other info: Opportunity to work with cutting-edge technology and unconventional datasets.
The predicted salary is between 43200 - 72000 ÂŁ per year.
We are in search of a Head of Machine Learning: part strategist, part scientist, part conjurer of algorithms. This is no ordinary position; it requires both the sobriety of a statistician and the audacity of an inventor. Your canvas will be the markets; your medium, mathematics; your brushstrokes, machine learning models of improbable sophistication. The individual we seek must not only keep pace with the hum of the trading floor, but also pause, think, and produce ideas of devastating originality. If your natural mode is to oscillate between feverish curiosity and ruthless practicality, we may be kindred spirits.
Command the Expedition – Define our machine learning strategy with a steady hand and a sharp eye, charting a course through data’s uncharted seas.
Assemble a Merry Band – Enhance and nurture a team of researchers and engineers who thrive on challenge, coffee, and improbable datasets.
Tame the Chaos – Build predictive models that impose a semblance of order upon markets, with sufficient scepticism to distrust them at every turn.
Forge the Tools – Oversee the creation of robust, scalable infrastructure, so one can sail far in a leaky boat.
Translate Wizardry into $/€/£ – Ensure that abstruse models and clever code yield not academic delight but measurable P&L.
What We Imagine You To Be – A proven leader in machine learning or quantitative trading, well-versed in both the thrill of discovery and the drudgery of productionisation. Adept in the dark arts of statistical inference, predictive modelling, and perhaps even reinforcement learning. Seasoned in the intricacies of markets: from the tick‑by‑tick squabbles of microstructure to the grandiose sweep of macro. Possessed of communication skills that can distil the arcane into the intelligible, even to those who think “regression” is a psychological term.
Bonus Points – PhD or Master’s in a quantitative field — though brilliance without letters is equally welcome. Prior success converting data oddities into trading advantages. Familiarity with high-performance computing, GPUs, or other forms of numerical alchemy. A taste for the unorthodox: alternative datasets, novel features, uncharted correlations.
What Awaits You – A handsome remuneration package, naturally. Colleagues who value sharp thinking, dry humour, and well‑placed scepticism as much as raw results. Work that will leave both your intellect and your ambition thoroughly exercised.
Head of Machine Learning - DTG Capital Markets employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Machine Learning - DTG Capital Markets
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's predictive models or unique algorithms, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s culture and values. Understand their approach to machine learning and be ready to discuss how your vision aligns with theirs. This shows you're not just looking for any job, but the right fit!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent that can bring fresh ideas to the table. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Head of Machine Learning - DTG Capital Markets
Some tips for your application 🫡
Craft Your Narrative: When you write your application, think of it as telling a story. We want to see how your journey in machine learning has shaped you into the strategist and scientist we’re looking for. Make sure to highlight your unique experiences and how they relate to the role.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your prowess in predictive modelling and statistical inference. We love seeing how you’ve turned data into actionable insights.
Be Authentic: Let your personality shine through! We’re not just looking for qualifications; we want to know who you are. Share your passion for machine learning and trading, and don’t be afraid to show us your sense of humour or unconventional thinking.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Master the Art of Storytelling
When discussing your experience, weave a narrative that showcases your journey in machine learning. Highlight specific projects where you defined strategies or built models, and explain the impact they had on trading outcomes. This will not only demonstrate your expertise but also your ability to communicate complex ideas clearly.
✨Showcase Your Leadership Skills
As a Head of Machine Learning, you'll need to lead a team. Prepare examples of how you've nurtured talent or fostered collaboration in previous roles. Discuss how you’ve tackled challenges and driven innovation within your teams, as this will resonate well with the interviewers looking for a proven leader.
✨Prepare for Technical Questions
Brush up on your knowledge of statistical inference, predictive modelling, and reinforcement learning. Be ready to discuss your approach to building robust models and the tools you’ve used. They might throw some technical scenarios your way, so being well-prepared will help you shine.
✨Demonstrate Your Market Acumen
Familiarise yourself with current market trends and how machine learning can be applied to gain a competitive edge. Be prepared to discuss alternative datasets or novel features you've explored. Showing that you understand the intricacies of the markets will set you apart from other candidates.
