Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package!
Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Position: Lead Quantitative Analytics Specialist
Location: SAN FRANCISCO, California, 94105
Term: 6 months
Day-to-Day Responsibilities:
- Provide hands on application coding of SPARQL queries, scripts that support ingestion from multiple data sources, transformation and materialization into RDF graph databases (ETL process).
- Lead complex initiatives including creation, implementation, documentation, validation, articulation and defense, of highly statistical theory.
- Qualify monitor markets and forecast credit and operational risks.
- Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives.
- Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis.
- Review and assess models inclusive of technical, audit, and market perspectives. Identify structure and scope of review.
- Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models.
- Collaborate and consult with regulators and auditors.
- Present results of analysis and strategies.
Is this a good fit? (Requirements):
Semantic Graph Application Developer/Engineer:- Role: provide hands on application coding of SPARQL queries, scripts that support ingestion from multiple data sources, transformation and materialization into RDF graph databases (ETL process).
- Skills: 2+ years of development with RDF graph databases using the SPARQL query language
- Desirable: experience with AllegroGraph or other RDF graph databases e.g. Stardog, Neptune, Virtuoso, GraphDB, AnzoGraph, RDFox. Ability to understand RDF/OWL ontologies.
- Role: application development of UI and messaging layer
- Skills: 2+ years of RShiny using modules, VisNetwork, RShiny Dashboard Plus, R6, JavaScript , HTML, plumber, familiarity working with RStudio Connect, RStudio Workbench, RStudio Package Manager, code profiling, source code management (Git), Unix shell scripting.
- Desirable: iGraph, openxlsx, RDFLib, JSON-LD, logger, Lintr, DT, shinyjs, shinycssloaders, renv, dplyr, foreach, microbenchmark, Cairo, grid, gridEstra, leaflet, sunburstR, xml2, yaml, bslib, digest.
- 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science.