Come Build the Future of Investing  

NDVR builds and analyzes sophisticated custom portfolios, optimized by advanced algorithms to boost expected return and efficiency. These sophisticated portfolios are delivered within an exceptional client experience that leverages elegant client-facing applications. Our tight-knit team is headquartered in Boston, Massachusetts with a sizable presence in Budapest, Hungary, and is spearheaded by a tech industry veteran CEO who has led multiple companies from foundation through IPO.  

About the Role  

Our Quant Research Team builds the mathematical and financial models that help our customers make better financial decisions. As part of this team, your efforts will be instrumental in building the foundation of our proprietary platform and ultimately in disrupting the wealth management space as it stands today. 

What You’ll Do  

We are looking for a Quantitative Research Analyst to assist a team of experienced researchers (including several PhDs) in all aspects of the research process. You will onboard, validate, and analyze data to help build, prototype, and test models that explain and forecast the risk and return properties of assets across multiple asset classes. You will help develop sophisticated performance attribution algorithms to provide relevant analytics that assist in decision making. You will apply your skills to help solve a broad and diverse set of problems, working collaboratively with a talented group of colleagues in a fast-paced environment. You will learn how to apply rigorous research methods to test hypotheses and design practical processes to efficiently solve problems. 

Typical tasks 

  • Source new data 
  • Help the Quantitative Analysis Team to source new input data for the ever-evolving financial models. E.g. GDP and inflation rates, Forward P/E projections, measures of growth per industries and regions
  • Maintain partnerships with external data providers  
  • Data validation 
  • Regularly validate incoming financial data and spot anomalies (e.g. detect if a stock-split has not been correctly accounted for in the historical prices)
  • Design automated validation processes 
  • Statistical analysis 
  • Analyze historical performance of various portfolio strategies and attribute performance to exposures that drive returns 

Our Ideal Candidate   

  • Finance background (e.g. Undergrad or MS in economics, financecomputer science, mathematics, or any other quantitative discipline) 
  • Familiarity and comfort with statistics and econometrics, simulation-based analysis, and optimization 
  • Programming experience (e.g. Python, Matlab or SQL) 
  • Curiosity about “What’s going on?!” in the data 
  • Experience in data cleaning and validation  

This is a unique opportunity to join a well-funded early-stage US-based fintech startup without the need to relocate from Hungary. As such, you can expect from us: 

  • Smart and motivated colleagues 
  • Equity compensation
  • Cutting-edge technology 
  • High velocity, great engineering culture 
  • Autonomy, ownership 
  • Flexible working hours and work-from-home availability 

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