About QuantMagnum :
QuantMagnum Technologies is a young and fast growing - product based - FinTech startup with clientele across geographies like Singapore, Hong Kong, Europe, US and India. The company's primary focus is on financial technologies for fund managers at hedge funds, family offices, proprietary trading desks and financial brokers.
- The company is building a state-of-art platform covering full life-cycle of algorithmic trading - from quantitative research and idea generation to strategy development, from data management to systematic portfolio management, risk management and automated trading. The company also offers proprietary quant models which are optimized for risk adjusted returns and target uncorrelated alpha from markets.
- QuantMagnum is co-founded by an experienced team of IIT Alumnus and technocrats with several years of international experience with global hedge funds and global financial services firms. Our team consists of top notch engineering and finance talent with backgrounds of IIT/IIM, CFA/CAIA/CA, and other premier institutes. We are well funded for our current needs and have ambitious growth plans ahead.
About Opportunity :
Position Title: Quant Strategist (Analyst/Associate level)
Eligibility :
- B.Tech/M.Tech/PhD/MSc/MS in Financial Engineering, Computer Science, Mathematics, Econometrics, Statistics, Engineering or Physics
- Additional qualifications like an MBA/ CFA/ CAIA/ CA is preferred, but is not a pre-requisite.
- Ideally should have good programming skills in C#.Net and preferably in any one of MATLAB/R/Python
Essential Skills :
- Must have good understanding of conditional probabilities, statistics, econometrics, time series analysis, Neural networks and Bayesian Networks
- Project experience in machine learning, pattern recognition, predictive analytics or data mining is a huge plus
- Good understanding of derivatives and Greeks is a plus.
Job-Description :
- Working with the core team of investment professionals to build new and improve existing Quant based investment models
- Must be able to comprehend scientific literature and research papers with heavy mathematics, statistics and finance
- Developing libraries for additional functionalities in our flagship product- QM.Fin framework
- Be part of the product engineering team and take small ownership of the product
Why join us :
- Compensation : Best in class - combination of fixed salary, bonus and ESOPs
- Fast track career growth
- Work culture : Challenging but cool environment, flexible work hours, well-defined tasks, timelines and incentives; Flat hierarchy - no work politics
- Opportunity to get involved in lucrative FinTech sector and be part of an awesome product and team
Candidates with relevant qualifications but less experience are also encouraged to apply.
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