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Data Engineer

Company: AllianceBernstein
Location: Nashville
Posted on: September 15, 2020

Job Description:

IT Group Description

The Multi-Asset Technology group supports quantitative research, model development, and portfolio management processes for Multi-Asset Solutions (MAS) unit of AB. Specifically, we directly support the Dynamic Asset Allocation (DAA) group, the outcome-oriented product group, the defined contribution retirement solutions group, the custom alternative solutions group, the index and factor investment group, and other quantitative investment groups.

We are seeking a Nashville-based software developer to join the Multi-Asset Technology team to provide technology solutions for to our buy-side Multi-Asset Solutions unit.

Describe the role:

Our Data Architecture team is focused on building a new infrastructure that embraces polyglot persistence and ModelOps methodologies to solve design goals including rapid data onboarding, lineage, discovery, quality control, and accessibility. This role will focus on building out the infrastructure and frameworks that underly this architecture using cloud-based distributed compute and storage technologies, continuous integration and deployment tools, data pipeline orchestration, machine learning for anomaly detection, non-SQL and traditional data warehousing (RDMS) technology.

Describe the applications and business or enterprise functions the role supports:

MAS actively manages over $100 billion for global institutions, high net worth individuals and retail mutual fund investors. The group's macro and quantitative research insights are used to develop innovative investment products and drive investment decisions. We assess both short and long-term outlooks for risk and return across all major markets, including Equities, Fixed Income, Currencies, Commodities, Credit, Real Assets, and Alternatives. We use quantitative and fundamental research techniques that are highly adaptive to the current market environment. We combine these views with the specific needs of clients to develop custom portfolio solutions.

Over the past couple of years, MAS has grown rapidly and continues to add new sources of market data, new security instruments, and new quantitative tools to its investment and research process. There is tremendous need for support in data acquisition, quantitative analysis, and portfolio tools development.

The key job responsibilities include, but are not limited to:


  • Developing a data ingestion framework to dramatically reduce the implementation timelines of new research investment signals, strategies and models that rely on new external and internal data sources
  • Developing and collaborating with AB's infrastructure management team to build an elastic "analytics sandbox" environment which supports DataOps (continuous integration, continuous deployment, and statistical process control) methodologies
  • Implementing and extending data pipeline orchestration tools to capture data lineage, component statistics
  • Automate the creation of data access API's and microservices whose client interfaces are made available in multiple programming languages
  • Building a robust metadata repository which captures technical and business metadata to facilitate data discovery, exploration and self-service
  • Building a consolidated multi-asset data repository and knowledge base
  • Developing robust quality control processing, monitoring and workflow tools
  • Evangelize, mentor and train other AB colleagues on data lake technologies and DevOps methodology
  • Provide support for overnight batch jobs

    What makes this role unique or interesting?

    • The Multi-Asset Technology team is currently making a significant investment in building out a platform to improve our ability to invest in systematic strategies. This program is still in its early stages, and the candidate will be given significant opportunities to make contributions at the ground-level.
    • Data pipeline architecture is perhaps the most exciting technology today due to the paradigm shift introduced by Big Data technologies. In addition, broad-based re-architecture initiatives do not occur frequently at large institutions, let alone established investment management firms such as AB. This role allows the candidate to be part of team building a foundational data platform which can transform our quantitative research process, creating business opportunities previously not possible.
    • The candidate will have an opportunity to work alongside an established team of developers, quantitative analysts and portfolio managers to create a new multi-asset platform encompassing quantitative modeling, portfolio construction, performance attribution, data consolidation and quality control.

      What is the professional development value of this role?

      • The candidate will have an opportunity to learn or leverage existing skills in SQL, Python, distributed storage and execution platforms, graph databases, statistical process control, and DataOps methodologies.
      • The candidate will work closely with professional investment staff and get an opportunity to broaden their financial knowledge across asset classes, markets and instruments

        Qualifications, Experience, and Education:

        • Degree in Computer Science/Engineering, Master's degree preferred
        • 7+ years' experience in application development
        • 3+ years' experience in Python (other object-oriented languages such as C++, C#, and Java can be considered)
        • 3+ years' experience programming SQL queries and stored procedures (Microsoft SQL Server, Postgres, Oracle, MySQL or Sybase)
        • 2+ years' experience with data pipeline/workflow orchestration tools: e.g. Airflow, Luigi, Oozie, Autosys, Control-M
        • 2+ years' experience developing Cloud microservices using containers (e.g. Docker, Kubernetes)
        • 2+ years' experience using Agile or DevOps methodologies (continuous integration / deployment)
        • Experience with Non-SQL technologies is a plus:


          • Distributed Storage: Azure Blob, HDFS, S3
          • Graph Databases: NEO4J, GraphX

            Skills:

            • Strong analytical and quantitative skills
            • Candidate must be willing to take full ownership of projects, covering analysis, technical design and implementation, testing, and deployment tasks
            • Software engineering skills including object-oriented design, application of design patterns
            • Must demonstrate good communication skills and be comfortable working closely with senior quantitative analysts and business partners
            • A strong desire to document and share work done to aid in long term support
            • Candidate must be a self-starter, a dependable partner, and team player

              Special Knowledge (nice to have, but not required):

              • Experience with distributed compute technologies such as Hadoop Map/Reduce, Spark, Databricks
              • Knowledge of financial instruments
              • Experience with Git/GitHub
              • Experience with market data vendors - Bloomberg, QADirect, Barclays POINT, etc
              • Experience with machine learning or big data
              • Experience working in the finance industry, demonstrable curiosity in quantitative research and investment


                Nashville, Tennessee

Keywords: AllianceBernstein, Nashville , Data Engineer, Engineering , Nashville, Tennessee

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