Senior Data Architect

  • .
  • Los Angeles, CA, États-Unis
  • CDI, Plein-temps
  • Causeway Capital Management LLC
  • 08 août 17

The Sr. Data Architect will design, implement, and maintain complex data analytics systems that support and further develop the data infrastructure of the organization’s Quantitative group.

Company Overview: Causeway Capital Management LLC provides equity investment management services to corporations, pension plans, public retirement plans, sovereign wealth funds, Taft-Hartley pension plans, endowments and foundations, mutual funds, charities, private trusts, wrap fee programs and other institutions.  The 100% employee-owned firm, based in Los Angeles, began operations in June 2001 and manages approximately $52 billion in international, global and emerging market equities, both long only and long-short.  Causeway employs a unique blend of fundamental and quantitative investment strategies, and offers its clients access to the firm’s proprietary risk analytics.

Position Overview: Reporting jointly to the Quantitative Portfolio Managers and the Director of Technology, the Sr. Data Architect will design, implement, and maintain complex data analytics systems that support and further develop the data infrastructure of the organization’s Quantitative group.  Through technical leadership and a hands-on approach, the Data Architect will lead a multi-disciplined group to innovate the next level of analytics systems that effectively integrate with and enhance current research applications.  Responsibilities include designing and developing analytics solutions at a significant scale using appropriate computing technologies.

Responsibilities:
• Load and maintain large SQL data sources (as much as 1+ TB) from a variety of financial data vendors
• Develop reliable data loaders to facilitate automation of incremental updates
• Work with Quantitative team to analyze and improve the architecture of Causeway’s proprietary and derived data sets
• Develop code libraries to facilitate the retrieval and analysis of both external/vendor data and internal proprietary data
• Develop data quality rules and define standards for data management 
• Institute governance for data architecture in the Software Development Lifecycle and train staff on principles of data architecture
• Analyze and improve performance of data analytics systems

Qualifications:
• 5-10 years’ relevant experience and a Bachelor’s degree in Computer Science, Mathematics, or Physical Sciences with a strong GPA 
• Expertise in data modeling, SQL, performance measurement and tuning
• Proficient with a variety of languages, including Python, R, S-Plus, and Perl
• Database experience with Microsoft SQL Server, Oracle, MySQL, PostgreSQL, Cassandra, Mongo DB
• Proficiency with Tableau, Apache Kafka, or similar software
• Capital Markets and Asset Management experience is desirable
• Familiarity with Bloomberg, Factset and other market data APIs preferred
• Familiarity with massively parallel SQL engines/databases and column-oriented databases, such as Redshift, Impala, Drill, Presto, or Vertica a plus
• Familiarity with SPARK, MESOS, AKKA, CASSANDRA, KAFKA (SMACK) a plus
• Ability to provide thought leadership and contribute to the firm's overall technology strategy