Securities Services Operations and Network Management is setting up Operations Data Hub team and is looking to hire a Data Architect to closely work with Operations and Technology teams for the following:
Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs.
Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls.
Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models.
Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, SAS, or Scala.
Conduct business process analysis and identify data needed to support the processes. Determine whether the firm s data is fit for use within a given process.
Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm.
In an individual contributor role, functions as a lead contributor with advanced knowledge of area of specialization and significant exposure to broad department activities and prioritizes own work
Independent & reliable execution on multiple tasks w/ limited oversight
Executes superbly and meets commitments; Acts with a sense of urgency
Proactive, strong attention to details
Drives for results; strong personal accountability
Escalates issues quickly and helps to resolve; solution focused
Takes into account the trade-offs in prioritizing and sequencing work and the impact on time expenses
Responsive and accessible to clients
Exhibits a strong understanding of a client s business and actively seeks input to anticipate client needs and effectively meets or exceeds them
Collaborates effectively with colleagues
Listens to understand various points of view whether or not she/he agrees
Able to frame basic communications on work product that are persuasive and include partner context
Team work and Leadership
Networks effectively with colleagues
Knowledgeable of the Firm s HR practices and policies
Effectively prioritizes own work and proactively seeks advice
Sets high standards for self
Risk, Controls and Conduct
Understands and applies knowledge of role-related risks
Keeps abreast of current regulatory requirements applicable to responsibilities
Acts in shareholder's best interest
Effectively remediates issues by engaging appropriate resources to mitigate risk with a sense of urgency
Generally 8+ years of related experience
Bachelor's degree in a quantitative or related field
PhD with 3+ years advanced analytics experience in large data environment or Masters with 5+ years advanced analytics experience preferred
Experience or knowledge in at least one data technology; i.e., data warehousing, ETL, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning, etc.
Experience using common relational database systems; i.e., Teradata and Oracle
Some knowledge of Hadoop-related technologies and their applications
Hands-on experience with data modeling
Proficient with the SQL language
Analytical thinking and problem solving skills
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