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Head of Machine Learning - DTG Capital Markets

DTG Capital Markets
London
16 hours ago
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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.

  • Your Responsibilities (or, “Things You Shall Wrangle”) 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, for one cannot 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 (The “Nice to Haves”) - 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.

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