Quantitative Portfolio Manager - Senior Associate

The pay range for this position at commencement of employment is expected to be between $125K and $150K/year*

 

Company overview

Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

 

Aon’s Benefit Index®, Nomura’s benefits rank #1 amongst our competitors

 

As part of its efforts to expand its investment management business in the Americas and enhance its overall offering, Nomura Holding America Inc. has established a new business line – Nomura Private Capital (NPC). NPC will focus on providing RIAs and their clients with access to private markets. The first strategy to be brought to market will focus on providing a diversified exposure to private credit sectors, likely leveraging the closed-end interval fund structure. Additional products/strategies will be developed in other private markets such as real estate, infrastructure, private equity or venture capital (e.g., potentially including non-traded REIT/BDCs, open/closed-end private funds or similar structures).

 

Primary Responsibilities
The initial focus of this role will require the candidate to work with the Head of Cross Asset Strategies and Sr. Quantitative PM to build out an environment for researching strategies.  The candidate will need to be comfortable working with dynamic and historical market data sets.  The candidate must be able to work through scenario analysis, portfolio simulations, unconstrained stress tests, co-variance matrices and optimization processes.

  

The candidate’s primary responsibilities are expected to include:

• Working closely with the Head of Cross Asset Strategies and Sr. Quantitative PM to research, evaluate and evolve primary strategies and portfolio hedging strategies.
• Support Prototyping, simulating, and trading systematic volatility strategies

• Utilizing large data sets to optimize parameterization for trading, either in system execution success or pricing volatility surface and term structure
• Employing data and market observations to generate hypothesis and draw conclusions that can lead to profitable strategies or improvements to existing strategies
• Increasing precision in our portfolios by advancing the sophistication of our trading systems

• Building automated workflows to generate and delivery external and internal content
• Working with big data sets in Python (Pandas, NumPy)
• Machine learning in Python (Tensorflow, PyTorch)
• Implementing and/or supporting option pricing libraries and risk management systems
• Implementing and/or supporting implied volatility systems, cross asset strategies and
• Project management interest / potential

In all of these activities, the candidate will collaborate with teams both internally and externally and across functions - Risk Management, Legal, Compliance, Data providers, Distribution partners, Counterparties, Fund Managers, and Technology, etc.

 

Skills and experience we are looking for

2-4 years of experience researching equity option strategies and markets.  Direct experience working in an investment management business is highly desirable.

• Demonstrated professional experience utilizing a quantitative approach to researching and analysing un-constrained and financial market data
• Demonstrated capacity to learn and develop broad expertise, including working knowledge of: alternative investment strategies; the financial instruments employed globally therein.
• Strong attention to detail, sense of accountability and dedication to continuous improvement.
• Strong organizational skills and the demonstrated ability to work productively and efficiently in a fast-paced environment with multiple projects, priorities, and deadlines
• strong C++ and Python skills
• Data driven mind-set with strong quantitative and technical skills
• BS, MS or PhD in STEM, physics, math or a related field

*base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, in