AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well.We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.
We are seeking an exceptional candidate across all degree levels to join the firm as a Quantitative Trading Analyst for our Chicago office. Our traders execute high frequency algorithmic strategies to capitalize on trading opportunities. As a Quantitative Trading Analyst, you will apply sophisticated quantitative modeling techniques to predict market behavior and write complex and nimble code used to grow our business and increase the efficiency of the global financial markets.
Your responsibilities may include any of the following:
- Designing and deploying trading strategies.
- Exploring trading ideas by analyzing financial data and market microstructure for patterns.
- Perform post-trade analysis.
- Work with senior traders to acquire in-depth knowledge of financial markets, modeling, and risk management.
Qualifications
AlphaGrep encourages Bachelor’s, Master’s, and PhD students in computer science, mathematics, financial engineering, and related fields from elite universities to apply.
Additional requirements include:
- Brilliant problem-solving abilities.
- Experience with data analysis, market research, and quantitative modeling.
- A passion for financial markets and new technologies.
- Programming experience as demonstrated through course work, research projects, or open source activities, preferably in Python.
- The ability to manage multiple tasks in a fast-paced environment
- Strong English communication skills.
Why You Should Join Us
- Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
- Transparent Structure. Our employees know that we value their ideas and contributions
- Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
- Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees.
What We Do
Founded in 2010, AlphaGrep is a quantitative trading and investment firm. We research and develop algorithmic trading strategies using advanced mathematical and statistical techniques, and trade them across all asset classes on over 30 exchanges globally. AlphaGrep comprises leading global market makers and is amongst the top market participants by volume on several exchanges and products. Coding, mathematics and statistics are at the core of everything we do. We analyze petabytes of financial market data to scout for minute inefficiencies that we then try to capture using our ultra-low latency trading systems and robust risk management. With the belief that value is created through innovation and not through imitation, we dare to face the uncertainty and ambiguity of exploring new frontiers. Join Us! Visit our careers page: https://www.alpha-grep.com/career/ Work collaboratively in a fast-paced and intense environment at AlphaGrep. We offer top-of-the-line compensation and perks including medical insurance, well-stocked cafeterias, gym and sports memberships, monthly office dinners, team outings, offsites, and a lot more! We cultivate a meritocratic, challenging and collaborative environment for our teams to always remain engaged and driven. At AlphaGrep, we don’t believe in tiring you with choosing an office outfit or a particular time to show up. We are always hiring folks who come with an ownership mindset and are keen on learning!
