QUANTITATIVE SYSTEMS ANALYST

NEAM has an opening for a Quantitative Systems Analyst within our Quantitative Solutions team supporting our Capital and Risk Analytics (CARA®) platform. The Quantitative Systems Analyst will work closely with our Trading and Enterprise Capital Strategy Teams to implement industry leading models and applications that drive NEAM’s investment and risk management process. The position will be involved in the full lifecycle of NEAM’s development process including design, architecture, development, implementation, tuning, production support and maintenance.

Your responsibilities:

• Work closely within a team of developers to enable NEAM’s investment business through technology
• Develop risk and analytical models used for making asset allocation and investment decisions
• Design and lead the engagement strategy for key modeling and analytics capabilities
  Apply big data visualization techniques to translate information into a visual context
• Contribute to the design and development of analytical solutions and thought leadership initiatives and publications, addressing industry challenges, and showcasing CARA® capabilities and solutions
• Support and maintain production processes and infrastructure
• Collaborate with team to develop new features for CARA® platform 

We seek an individual who has the proven ability to work and communicate effectively in a small team setting, and to deliver tangible results and practical solutions. This person must have excellent interpersonal, critical thinking skills, and intellectual curiosity. The desire to challenge themselves and improve our software implementations, and the passion to contribute with innovative solutions to serve our investment professionals and global insurance clients.

Key additional requirements include:

• Degree in Computer Science, Financial Engineering, Statistics, or similarly relevant area; Advanced degree a plus
• Experience with object-oriented programming languages (preferably C , C #, Java), SQL and analytical packages such as R or Python
• Keen interest in financial markets, statistical modelling, and the ability to comprehend the impact of market events
• Excellent analytical and problem-solving skills with a keen attention to detail
• Adaptable, can adjust priorities to meet fluctuating conditions or needs
  CFA designation is desirable but not required

What you will learn:

• An understanding of institutional asset management, investment strategies, risk management, fixed income, and equities
• A deep understanding of building scalable, cyber-secure, enterprise applications