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
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All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassign...
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