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Solutions Architect (Hadoop, Kafta and Spark)

Company:
Spectra Group
Location:
Toronto, Ontario, Canada
Posted:
April 15, 2019

Description:

Job Description

Enterprise risk engineering team is looking for solution architect to document for various applications/projects including Solution Architecture, Highlevel Design covering the full stack of

enterprise risk platform which includes DaaS/CaaS/RaaS: Data as a Service, Calculator as a Service, Report as a Service

Responsibilities:

Work on counterparty credit risk technology initiatives Provide design and build code for CCR Applications fundamental to regulatory reporting.

Performing requirements analysis, software design, estimation, development, and project tracking.

Coordinate with other Team members to ensure development cycle is in optimal state at all times.

Design and develop proof of concepts using Hadoop eco?system

Required Skills:

Well experienced in solution architecture and highlevel design, ideally for CCR and/or Market Risk.

10+ years would be ideal... 7?8 years would be minimum.

Should have good experience in having developed applications/services using Java, Messaging, Databases, Reporting Tools etc.

Any experience with emerging technologies such as Kafka, Hadoop, Spark would be good.

Experience with one or more of .Net, Python, Web Application Development etc., would be helpful (not a must have).

Ability to understand complex systems and processes and communicate in simple terms to a non?technical audience.

Facility to handle and manage multiple tasks simultaneously.

Excellent communication skills, both verbal and written.

Business Product Knowledge:

Risk for Capital Markets Products, preferably Counterparty Credit Risk, Risk metrics, understanding of trade/position/market/reference data, understanding of Capital Calculations,

awareness/understanding of intraday and end of period (day/month) process flows around defining limits, checking availability, calculations, reporting exceptions, capital calculation process and data flows.

Nice To Have:

Knowledge of FIS Adaptiv platform would be a plus