Crypto Engineer –ROAR Data

JP Morgan Chase - New York, NY (30+ days ago)3.9

About J.P. Morgan Corporate & Investment Bank

J.P. Morgan
J.P. Morgan’s Corporate & Investment Bank is a global leader across banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. With $24 trillion of assets under custody and $423 billion in deposits, the Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Who are we looking for?
The ROAR group within J.P. Morgan CIB Data Science is building infrastructure to support a fundamentally new way of approaching data science problems. We are quite unlike a traditional data science group and, rather than assuming human managers are the best organizing principle, experiment with new techniques for achieving Collective Intelligence as it applied to prediction and real-time decision making. Our flagship project is a novel crowd-sourcing platform to be launched mid 2018.

Why join?
We are building a lattice on which, seemingly, every major idea in Machine Learning and Statistics finds a novel spin. This is an engineering and scientific greenfield project requiring careful formulation of statistical, cryptographic and technological problems. It rewards broad peripheral knowledge of applied mathematics, not just recent buzzwords. Tackling our problems will involve significant trial and error, customer feedback and iteration. In exchange for this significant upfront effort we believe we can deliver dramatic cost savings and greater accuracy driving a dramatic lift across dozens if not hundreds of business lines. In addition, you will collaborate with top tier universities helping us pursue civic applications of the new paradigm we are seeking to prove out. You will be joining highly motivated people pursuing this vision, some of whom have founded companies and sold technology to hedge funds, banks and brokerages.

Each of three people possess an integer modulo seven. They must determine the sum of their integers modulo seven without use of a trusted third party, and ensuring that the Bayesian posterior for all participants is precisely the prior conditioned on the new information only.

If you enjoy privacy preserving computation and recognize the potential, you might want to join a team of top tier engineers, data scientists, mathematicians and cryptographers working on the ROAR platform. You will collaborate across engineering and business units to help build a next-generation prediction platform used by the bank, the bank’s clients, and eventually the entire world.

You will:
Formulate and solve problems related to the use of crowdsourcing of machine learning in the presence of private data.
Be an expert in industry wide available best in class open source tool stacks and integrate external vendors into internal solutions
Develop, debug, test and maintain algorithms operating on real-time data streams.
Understand use case driven business goals and help work through problems standing in the way.

At least 5 years of professional experience in a ML / Crypto related role
Masters degree or equivalent experience, in mathematics, computer science, physical sciences or other quantitative discipline, doctoral degree a plus.
Extensive training in cryptographic methods and primitives, and demonstrated ability to combine them in novel ways - ideally in published work.
Expertise in secure multiparty computation a strong plus.
Expertise in differential privacy a strong plus.
Professional experience in mathematically intensive engineering projects involving software engineering.
Demonstrated contributions to open source libraries a plus.
Research experience with pure mathematical topics a plus or proven ability to wield high level abstractions with adroitness.
Experience developing WebApps, designing APIs, using Relational and NoSQL databases, Big Data architectures a strong plus.
Great communication skills, team player, self-starter, demonstrated strong work ethic and personal integrity a must.