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Deloitte Manager, Big Data Analytics and Machine Learning in Parsippany, New Jersey

Manager: Big Data Analytics and Machine Learning Specialist

Financial Markets

Risk and Financial Advisory

75% Travel

Powered by Deloitte s Risk and Financial Advisory s (RFA) industry-leading expertise and technology, our Financial Markets team provides services designed to address operational, technological and regulatory challenges faced by capital markets participants, including: wealth and investment managers; broker dealers; asset servicers; exchanges; clearing houses; depositories and custodians, including companies in commodities-driven businesses.

Work you ll do

We are developing innovative solutions that leverage the latest technologies in open source and the cloud and are building a team of top-notch software engineers to create our next generation Big Data Analytics and Machine Learning platform. You will be working with all levels of technology from front-end technologies (e.g. React framework, JavaScript, HTML5, CSS, R, Scala), server-side technologies (web APIs on dotnet core, C#, Python, Node.js), backend data processing technologies (Hadoop, Spark R) and Cloud technologies in Azure and Amazon! We want you to bring your excitement and technical expertise to deliver high quality work and continuously improve the ways we can better leverage Big Data Analytics and Machine Learning. This is just the beginning of Big Data Analytics and Machine Learning and we need you to help us define the future and get us there a huge opportunity awaits!

Responsibilities include:

  • Partner with Product Owner and other stakeholders to understand the high-level requirements and business objectives; and make recommendations for business prioritization, roadmaps and product improvements

  • Develop trusting relationships with our business and other subject matter experts

  • Communicate with senior leaders regarding the architecture, discuss problems and recommend solutions and improvements.

  • Provide leadership in refining the product backlog from an architectural standpoint

  • Ensure architectural considerations are incorporated into building the working software

  • Own the successful development and implementation of business capabilities by the development teams

  • Ensure high quality of deliverables by conducting design and code reviews, ensuring teams are automating unit and integration tests in a timely manner.

  • Design and lead the technical implementation of efficient, adaptable, scalable, and reliable data pipelines and algorithms to process unstructured and structured big data

  • Enable complex analytics by building usable data sets that can power various analytics like regression, classification, clustering, etc.

  • Leverage industry knowledge and stay close to technology developments in the open-source and cloud communities

  • Provide technical direction to the development teams including hands-on development of POCs where appropriate

  • Build, design and implement high-volume, high-scale responsive web front ends, web APIs, data analytics and machine learning solutions in the cloud

  • Develop our next level of architects and technology talent and mentor junior development staff in the art of building software systems.

  • Bring new ideas in cloud, big data, and machine learning software development

  • Leverage industry knowledge and stay close to technology developments in the open-source and cloud communities

  • Collaborate with cross-functional teams

  • Practice and enforce Agile and Scrum development methodologies

Category: Risk Management

About Deloitte

As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.