Our client is building advanced computation and analytics platforms to support CECL and other subsequent BSAM usecase implementation.
Leads in the development of the most complex new and emerging technologies and selects appropriate platforms, integrates and configures solutions. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
Develops software components and hardware for new and emerging technology projects; aligns these with business strategies and objectives.
Consults junior staff regarding complex issues and best practices.
Provides a systematic analysis on the most complex client requirements within the traceability framework and resolves any functional problems encountered.
Oversees the quality of complex project deliverables while ensuring that they are in compliance with relevant standards and processes.
In this contributor role you will support the Technology team partnering with the Balance Sheet Analytics & Modeling LOB, and requires specialized skills and experience with advanced computational and data science related technologies such as Python, SAS, SPARK, Hadoop and related stacks.
A self-starter who can align the technology solution with a business goal
Development – Design and build database and data science solutions
Data Modeling – Apply your expertise to help model structured and unstructured data. Own these models at a high level and consult with feature teams to help them model applications.
Data Integration – Plan and build data integrations between systems. Figure out the best way to share information and build the tech needed to execute.
Mentoring – Help teach other team members about data architecture, and also be a consultant for developers who need help with data.
Engineer reusable capabilities and pipelines for DML, DDL, maintenance, and ETL needs that can be shared across teams.
Stay current on technical knowledge and tooling to help the team utilize new technologies.
Establish scalable, efficient, automated processes for large scale data analysis and visualization
Perform data insights analysis using clustering, agglomerative clustering, graph based clustering, and analysis
MS with 2+ years of industry experience or Bachelors with 5+ years of experience in Quantitative field (Computer Science, Electrical/ Computer engineering, Financial Engineering, Mathematics, Statistics, Physics)
5+ years of enterprise-level scripting experience using languages (e.g. Python, SPARK, SCALA), or statistical/mathematical software (e.g. R, SAS)
Experience in creating data driven visualizations
Highly skilled in data and math/statistical methods (i.e. modeling, algorithms)
4+ years of experience in system analysis and data management engineering
3+ years of experience in database technologies: Oracle, Cassandra, or Mongo
2+ years of experience with DevOps, CI/CD
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Experience in processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
2+ years of experience in AWS, Google Cloud, or MS Azure
Experience working with Financial, Insurance domains
Strongly prefer Experience in Data Science, Machine Learning, and/or Deep Learning
Strongly prefer prior Experience in programming languages such as Java, or C/C+
Experience with containerized solutions
Experience with SPARQL and other no-SQL data bases a plus
Experience with XML, XML Schema, XSLT
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support Enterprise Risk Management Framework.
About Logix Guru, LLC
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