Daily Responsibilities:
• Developing and Maintaining risk applications to estimate profits & losses (P&Ls) using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark), etc.), includes:
o Understanding quantitative methodologies and business requirements.
o Designing and implementing solutions that fit into the overall strategic framework.
o Conducting testing to ensure the appropriateness of the implementations.
o Maintaining the implementation to incorporate user feedbacks as well as performance enhancements.
• Designing and executing the overall quant development framework
• Contributing ideas and concerns, and escalating issues for tactical and strategic system solutions and business process improvements;
• Providing effective User Acceptance Testing, ensuring the appropriate validation has occurred from Quantitative Risk Analytics and/or Model Risk;
• Collaborating with IT teams to build out DevOps process to enable efficient product delivery
• Working with IT colleagues and other stakeholders to reach agreeable and effective solutions to complex technical problems;
• Assisting with business process engineering, ensuring all processes are effective, efficient;
• Assisting with training of team members as required;
• Assisting with project reporting and status updates to senior management.
What program/technology/software knowledge is essential for this role?
PySpark – Expert
Python – Expert
Must-have Skills/Experiences:
• 5+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office.
• Working experience in application development in a financial institution
• Strong knowledge in Big Data development and toolsets (HDFS, PySpark, Spark Python, Scala, etc.)
• Solid understanding of IT practices and ability to manage and prioritize development tasks.
• Ability to clearly communicate highly technical concepts to business stakeholders.
• Results oriented with ability to work effectively under consistent time and workload pressures.
• Delivery focused mentality and ability to work autonomously.
• Strong quantitative and analytical skills, with attention to detail.
• Solid knowledge of derivative pricing, market risk methodologies, systems and processes, and regulatory requirements.
Nice to Have:
• Experience with financial market data across different asset classes
• Experience with Agile framework and project management
• Experience with parallel computing
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