- / Post Doc in Maths from a top university orresearch group, with an emphasis on stochastic analysis,optimization, and/or functional
- Excellentgraduate-level understanding of probability theory, stochasticanalysis, functional analysis and optimization, as evidenced forinstance by a French DEA in maths, or the Cambridge Part III, priorto your PhD in
- Strong intuition to guide thedesign of reasonable conjectures from the geometry of the problemand background knowledge prior to attempting any
- No finance or machine learning experience is
Senior Design Engineer - Mecca, المملكة العربية السعودية - Energy Jobline
وصف
Technologies is taking on one of the mostexciting challenges of our time, namely solving intelligence, inone of the most competitive industries ever, investment management
The team enjoys the duality of solvinghumongous research and engineering problems, while remainingfocused on very concrete shorter-term We believe in excellence,humility, trust and inclusion, and every team member has a vetopower on who we
We adopt a finance-firstapproach to machine learning research, and we do not indulge inblindly applying solutions to machine learning problems in otherdomains to Core to our research philosophy is the need to place aslittle assumptions on how the world behaves as possible, but ratherlet the data speak for itself, and use mathematical rigor tounderstand what the data is truly
We are backed by Y Combinator, legendary RenaissanceTechnologies and First Round Capital co-founder Howard Morgan, andprominent tech VCs David Lee & Zal Bilimoria, to name but a
Technologies ishiring a Mathematical You'll be at the core of our effort to solveintelligence for investment management, and as such, you'll workvery closely with the CEO/CTO to improve our current generation of;
This role is anin-housemathematician As such, you'll be involvedin formulating fundamental questions arising as part of theinvestment process as mathematical problems consistent with ourresearch philosophy, and you'll be responsible for solving thosemathematical This role is central to our research efforts, and youroutput is expected to have a critical impact on our bottom line,both in the short term and in the long
The ideal candidatetypically loves (and is capable of) testing and proving complextheorems and conjectures of her/his own, but prefers industry overacademia as she/he is eager and impatient to see the impact ofher/his work in She/he never shies away from finding closed-formsolutions to complex mathematical problems, but she/he can alsogauge the merits of numerical methods as an alternative when Asmuch as this is not an engineering role, the ideal candidate shouldbe able to write prototype-quality Python code to test foundmathematical
Technologies supports publications of methodological findings totop machine learning
We strongly encourage applicants to read our blog posts ()prior to applying, in order to get acquainted with our researchphilosophy and some of our
Requirements: