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    Junior Scientist - London, United Kingdom - Ripple

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    Description
    At Ripple, we're building a world where value moves like information does today.

    Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world.

    If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

    We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future.

    This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap.

    5 trillion market of digital assets that has grown 10X in the last year.

    We are looking for an innovative and collaborative principal applied scientist to join us in building the Internet of Value experience for our customers and their users.

    From forecasting supply and demand, to optimizing routing across traditional and digital assets and venues, to enabling price discovery for the long-tail of crypto assets and tokens, this role will be critical in developing the liquidity engine that powers the Internet of Value.

    Ideal candidates will have a track record of scientific leadership and technical strength.

    You will define and drive end-to-end machine learning solutions that solve real customer problems while helping grow and build the team that delivers them.

    Lead the scientific vision and ML strategy for how we delivering scalable, auditable, and maintainable production machine learning services at Ripple
    Be a foundational member of our applied science pillar with a huge opportunity to shape its future
    Work with teams across the broader organization, including engineering, product, legal, compliance, finance and business development to think beyond the technical design in delivering the best experience for our customers
    Masters or PhD (preferred) in computer science, statistics, physics, or other quantitative field
    5+ years experience with Python and/or Java
    Broad machine learning experience including statistical modeling, time series analysis/forecasting and experimentation, bonus if in finance and trading domains, especially FX
    Experience with cloud-based data processing and machine learning services and tools
    Excellent written and verbal communication skills, especially with non-technical senior leaders
    A professional development budget to support other modes of learning.

    Ripple is Flexible First:

    you have the option to work from home, from our offices, or a combination of the two around our centers of gravity (15 global offices).

    Competitive salary, bonuses, and equity
    Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
    Generous wellness reimbursement and weekly onsite & virtual programming
    Generous vacation policy - work with your manager to take time off when you need it
    Industry-leading parental leave policies. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
    Benefits listed above are for full-time Ripple employees. We're committed to building a diverse and inclusive team.

    We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

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