UHY LLP

  • Cyber Analyst

    Job Locations US-NY-New York
    Posted Date 2 weeks ago(7/3/2018 9:43 AM)
    Job ID
    2018-1459
    Category
    Consulting
    Type
    Experienced Hire
    Recruiter
    Amanda Mich
  • Position Summary

    UHY  is on the forefront of leveraging data analytics to inform strategic decision-making and drive operational improvement across Cyber Security and Anti-Money Laundering. The Risk Advisory practice combines the talent of Cyber with deep expertise in machine learning and cyber security and AML analytics.

     

    Tasks

    You will work alongside teams of Cyber Analysts to analyze operational cyber and AML data, and transform your findings into interactive visualizations. You will work on a team composed of other developers, data scientists, and business analysts working in concert to deliver actionable business insights and recommendations.

     

     

    As a Cyber Scientist at UHY, you will industrialize analysis covering the gamut of this fast changing field, from simple aggregations to more complex machine-learning algorithms. The architecture of your applications will feature sophisticated back-ends, ETL processes, cron-jobs, and batch-processed analysis, as well as interactive front-ends that intuitively communicate key understandings to end-users.

     

     

     

    Skills

    • Intrusion Detection such as Symantec IDS
    • DDos Protection such as Akamai Prolexic
    • Firewall Monitoring
    • Data Loss Prevention such as McAfee DLP
    • e-Mail Encryption such as Voltage
    • e-mail AntiVirus such as McAfee Security
    • Security Management such as McAfee Security
    • Mobile Device Management such as Mobile Iron
    • Web Proxy / filtering such as Websense
    • Vulnerability Scanning such as AlientVault (OpenVAS)
    • Ticketing BMC such as Remedy
    • Asset Management such as BMC Discovery or TrackIT
    • Identity and Access management such as IBM IGI
    • Servers Desktop and VDI
    • F5 Local and GTM

    Experience and Education

    • Significant coursework in a quantitative or computational field such as Computer Science, Applied Mathematics, Statistics, Operations Research, or Engineering
    • Aptitude for infrastructure architecture and database design
    • Demonstrated proficiency in computational tools, e.g. Python, R, Java, C++, MATLAB, SAS, or JavaScript/HTML in an academic or professional environment
    • Skills in or familiarity with data cleaning, natural language processing, machine learning, artificial intelligence, visualization, network analysis, and distributed computing are a plus
    • Good understanding of end-to-end development methodologies including Agile, SDLC, etc.
    • Ability to refactor and modularize codebases
    • Familiarity with relational database concepts/structures and ability to write SQL queries
    • Comfort in a *nix shell environment e.g. bash
    • Understanding of selected real time transactional applications is a plus
    • Proficient oral and written English communication skills
    • Is a self-starter and team player
    • Ability and willingness to travel from time to time (domestic and international)
    • Authorized to work in the US

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