Machine learning

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.

Job Overview

Job ID: J36993

Specialized Area: Machine learning

Job Title: Machine learning

Location: Houston, TX

Duration: 9 Months

Domain Exposure: Manufacturing, Government, Oil & Gas

Work Authorization: To Be Discussed Later

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Responsibilities

• Experienced Data Strategy/Machine Learning Architect needed to define an implementation and technology stack for the comprehensive data strategy initiative within Equities.
• This initiative will consolidate multiple, duplicative stores of high-volume trading data into a single logical construct with a well-defined data model, availability guarantees, and a governance program to manage changes and access requests.
• This will directly result in significant infrastructure saves; in addition, it will provide single-point access to Equities trading data for all consumers, greatly simplifying the current data architecture, eliminating redundant data feed, and reducing the existing risk caused by using multiple versions of the truth.
• The architect will have frequent interaction with the business consumers of this data, particularly in NYC which generates by far the highest volumes of data and many complex patterns of consumption.
• The candidate will be part of the client world-class IT team and advance the state-of-the-art in trading applications ranging from pricing to order management to algorithmic trading to market connectivity. Client work spans all product lines in the Equities space, each with its own unique challenges and opportunities.
• As a kick-off assignment, the successful candidate will work with a data modeling BA to design a single, comprehensive data repository that encompasses all product flows. This repository must be supportive of traditional query approaches as well as advanced machine-learning techniques.
• The candidate will work broadly across the Equities lines of business to actively identify important data problems and incorporate solutions into the repository.
• The ultimate goal of this assignment will be to build a central, cloud-based repository of all Equities trading data that is capable of supporting a variety of needs from streaming analytics to algorithm backtesting to monitoring to regulatory reporting to archival.
• Additional responsibilities will include presenting solution proposals, securing approval from stakeholders, and working with the data modeling BA to ensure business objectives are met in all solution design.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.