Risk Analyst/Data Analyst (Market Risk, or Front Office)

ICONMA
Jersey City, NJ
Full-time

Job Responsibilities :

  • Partner with Global Markets Financial Risk (GMFR), Global Risk Analytics (GRA) and Model Risk Management (MRM) for business requirements
  • Propose technology solutions to business problems and facilitate agreement with all stakeholders
  • Cost estimation of technology solution and participate in budget approval process
  • Develop prototypes (using python, SQL, excel / VBA) to demonstrate solutions to stakeholders
  • Consult with management to guide and influence long term and strategic decision making within the broadest scope
  • Data analysis using distributed computing and Big Data platforms such as Apache Hadoop
  • Collaborate with team members to collect and analyze large data sets
  • Develop data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Use graphs, infographics and other methods to visualize data
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Interpret data and analyze results using statistical techniques
  • Using Agile SDLC methodology, work with Product Owner / Product Manager for documentation / development of Epics and Stories
  • Ownership of functional design of market risk applications
  • Facilitate agreement on technical design with technology stakeholders
  • Coordinate UAT activities, releases and migration events - track defects and progress on resolution
  • Demonstration of new functionalities to business and technology stakeholders
  • Adhere to risk mitigation plan defined by corporate audit
  • Escalation of issues to senior partners in a timely manner
  • Follow Enterprise Change Management (ECM) process
  • Drive process improvement and policy development initiatives that impact market risk technology
  • Strong Market Risk, Risk, or Front Office experience
  • Strong financial markets product knowledge
  • Solid understanding of regulatory landscape
  • Good organizational skills with efficient follow up on open items
  • Exposure to Agile methodologies.
  • Experience of all aspects of project life cycle
  • Excellent technical skills; SQL, Excel, VBA and Python
  • Computer Engineering / Financial Degree
  • Strong analytical and quantitative skills
  • 30+ days ago
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