Financial Risk Analyst

  • Chicago, IL
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Able to Provide Sponsorship

Skills

Financial
risk
VaR
Basel
CCR
validation
error
model
quantitative
derivatives
securities
regulatory

Job Details

Role: Financial Risk Analyst

Location : Chicago, IL

Job Responsibilites:

  • Interact with regulators, exchanges and other external parties in explaining company s risk management systems.
  • Recommend and implement new and improved procedures, controls and processes.
  • Represent department on corporate projects and new system development.
  • Evaluate new products and recommend needed procedural and system changes.
  • Provide guidance to the model development team challenging the practical design of quantitative models.
  • Collaborate with technology partners to drive strategic plans for company s model development, integration and deployment.
  • Develop functional capabilities within the organization by driving innovation and continuous process improvements.
  • Direct and drive successful relationships with key internal partners and significant external partners.
  • Understand regulatory requirements and drivers impacting development goals and plans.
  • Provide direction to staff during production issues/outages and ensure standards for accuracy and timeliness are maintained.
  • Design and build market risk systems and tools, comparing near real-time P&L to quantitative model-based risk measures of VaR (value at risk) and Expected Shortfall, using advanced streaming technologies like Flink, AWS cloud infrastructure, and protobuff data schemas.
  • Design and build counterparty credit risk system implementing Basel SA-CCR methodology, calculating exposure at default (EAD) for derivatives and securities using advanced architectural framework of data pipeline and computing.
  • Perform data analysis, validation and error-checking on large, complex sets of information using data science classification models

Top Skills:

1) Design and build market risk systems and tools, comparing near real-time P&L to quantitative model-based risk measures of VaR (value at risk) and Expected Shortfall, using advanced streaming technologies like Flink, AWS cloud infrastructure, and protobuff data schemas. This is a non-technical role, understanding the use of these technologies will be useful

2) Design and build counterparty credit risk system implementing Basel SA-CCR methodology, calculating exposure at default (EAD) for derivatives and securities using advanced architectural framework of data pipeline and computing; and

3) Perform data analysis, validation and error-checking on large, complex sets of information using data science classification models.

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