Application Architect V

2 weeks ago


Jersey City, New Jersey, United States Mitchell Martin Inc Full time
Our client, one of the largest banks in the US with wealth management, investment banking, and international business, is seeking an Application Architect V

Location: Jersey City, NJ
Position Type: Contract

Job Responsibilities:
  • Identify valuable data sources and automate mining/collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of data/information to discover and articulate trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Make and defend arguments using data and data-based insight.
  • Leading the design, architecture, ML pipeline development for Capital Markets.
  • Design, execute and deploy projects aimed at solving high-impact business problems.
  • Partnering with Application Programmers to provide specifications for deploying models/algorithms into production systems, when applicable
  • Present to customers projects and validate needs and requirements to feed into the business case
  • Provide analysis and due diligence expertise with potential strategic partners
Skills and Qualifications:
  • 5+ years' experience in a quantitative, Data Science or other advanced data & predictive analytics role
  • 3+ years' experience in Python and Tableau
  • Must have a software development background in order to prototype custom analytics/tooling
  • Practical experience with data analysis and exploration, especially with diverse data sets
  • Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink)
  • Architect and work closely with other team members to develop scalable cloud-based data analytic solutions
  • Capable of applying the latest technologies and methodologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.
  • Has a proven ability to learn quickly and works well both independently as well as in a team setting
  • Practical experience with data mining, machine learning techniques, natural language processing, and data visualization
  • Experience of working on end-to-end data science pipelines: problem scoping, data gathering, exploratory data analysis, modelling, insights, visualizations, monitoring and maintenance
  • Proven track record of strong analytical skills, learning agility, and independent thinking.
  • Ability to make observations, form an option, and articulate to the team
  • Team Leadership
  • Enterprise Software Development


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