Senior Data Science Quant Developer

Liquidnet New York , NY 10007

Posted 2 weeks ago

Job Description:

With the acquisition of OTAS Technologies in 2017 and our continued global evolution, Liquidnet is expanding its technology and quant team to build disruptive new products to further revolutionize trading and investing. Our products are used by the largest investment firms globally, and we are recognized as an industry-leading innovator in big data analytics, AI and machine learning.

We are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics.

We have a track record of hiring amazing people and giving them (industry veterans and recent grads alike) autonomy and responsibility from the start. You'll have the best tools and resources available to get the job done, and thrive in a collaborative environment where our teams are passionate about building great things.

The right candidates will have both a strong mathematical background, and be highly adept technologically.


  • Analyse unique proprietary data sets.

  • Create, evaluate, and enhance mathematical models and streaming analytics pipelines.

  • Write production code.

  • Partner globally with other data scientists, quants, developers, product designers, clients and industry leaders to tackle the important problems faced by the world's largest asset managers.


  • Bachelors' degree or higher in Computer Science, Mathematics or related technical focus.

  • 5+ years of relevant experience.

  • Proficiency in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar.

  • A strong foundation in a STEM/numeric discipline.

  • Expertise in software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, continuous integration.

  • Significant experience with machine learning libraries/frameworks and methods

  • Excellent communication skills and team orientation

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Scientist Cryptography And Internet Technology Marketing Science R&D


Posted 2 days ago

VIEW JOBS 4/20/2019 12:00:00 AM 2019-07-19T00:00 Marketing Science R&D is an interdisciplinary team of data scientists focused on research that improves measurement and ads delivery on our platform. The team's expertise spans domains, including causal inference, survey methodology, machine learning, cryptology, location and identity prediction algorithms. We develop methodologies, design and prototype solutions, and partner with our engineering and product colleagues to scale these solutions such that millions of advertisers can benefit. We're looking for researchers and data scientists with expertise in cryptology that can develop new technologies to securely receive, handle, and process data that is collected through various channels on and off Facebook. Team members will pursue deep technical knowledge of signals, identity, network and measurement systems at Facebook, and research new frameworks such that we can advance the state of advertising and measurement while maintaining a focus on security and privacy principles. RESPONSIBILITIES * Research opportunities to leverage new data sources, systems, or technologies to improve data security, user privacy or ads measurement Design and develop prototypes with scalable validation frameworks for ongoing evaluation Work both independently and build cross-functional relationships with Engineering, Product and Analytics to shape long-term product roadmaps with a balance of technical rigor and strategic considerations Learn new tools, systems and languages -quickly- as required by the particular project you are working on Apply communication skills to engage diverse audiences on technical topics and nuanced insights MINIMUM QUALIFICATIONS * PhD in Computer Science, Engineering, Cryptography or related field, or a Master's within one of these fields combined with 3+ years of hands-on research experience in the internet, financial services, payments, security, or advertising industry architecting and implementing security features and solutions Experience in Python and Presto, Hive or Spark SQL Programming and scripting experience in a Linux environment to develop scalable research prototypes using at least one of: Bash, C/C++, Java, JavaScript or PHP Experience designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets Experience with at least two of the following core security concepts: * Privacy enhancing technologies, e.g. data minimization and management, data anonymization, differential privacy One or more cryptographic research areas: e.g. design and analysis of cryptographic algorithms and protocols, homomorphic encryption, secure multi-party computation, searchable encryption, and/or their application to data protection and privacy, authentication, payments, or digital advertising Web security (SQL injection, XSS, side channel attacks) Web services technologies (REST, SOAP, HTTP, JSON) and their application in relation to browser cookies and mobile device identifiers Experience in privacy and data protection systems architecture and experience developing technical solutions to secure personal data across data infrastructures Knowledge in security-related patents, conference presentations, academic papers, or other indicators of research proficiency in industry-grade security PREFERRED QUALIFICATIONS * Applied experience leveraging causal inference, machine learning or advanced statistical modeling Experience with online advertising, targeting, optimization and measurement systems and advertising technology platforms (ad servers, DSPs, DMPs, etc.) Familiarity with network and web security protocols such as TLS, IPSec etc. Familiarity with user and code authentication and authorization systems Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at Facebook New York NY

Senior Data Science Quant Developer