



We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has world class investors and big data experts as part of the GP, top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.
Requirements:
- Atleast 3 years of relevant ML experience
- Graduation date : 2018 and earlier
- 3-5 years of experience in high level Python programming.
- Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
- Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques.
- Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
- Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
- Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling.
- Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
- A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
- A valid Github profile with some activity in it
Bonus to have:
- Experience in storing and retrieving data from large and complex time series databases
- Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
- Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation.
- Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.)
- Knowledge of REST APIs and data extracting and cleaning techniques
- Good to have experience in Pyspark or any other big data programming/parallel computing
- Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
- Any progress towards CFA or FRM is a bonus
- Average tenure of atleast 1.5 years in a company

About GitHub
About
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
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As next steps, we would like you to take this assessment test - https://careers.turing.com/apply/info/om
Please ignore the job title and location status question in this test (select option 3 for the same.)
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Dear All,
On behalf of one of our clients, we are hiring ambitious Sales & Marketing Executives
Job Description
As the sales and marketing executive you will be involved in developing marketing strategies, implementing marketing plans, developing sales strategies, maintaining customer relations, and creating sales reports.
Research and recommend prospects for new business opportunities. Research and analyze sales options. Build and maintain relationships with clients and prospects. Working with the sales team to develop targeted sales strategies. Answering client queries about product specifications and uses. Maintaining client relations. Collect and analyze information and prepare data and sales reports. Build and maintain professional networks
Requirements
1. MBA in Marketing, Business, or a related field.
2.Proven work experience as a Sales and Marketing Executive.
3.High-level communication and networking skills.
4.A passion for sales.
5.Understanding of commercial trends and marketing strategies.
6.Ability to negotiate and understanding of marketing skills
7.Self-motivated and goal-oriented, desire to deliver results
8.Ability to create and deliver presentations
9.Fast learner and a quick thinker

