Quantitative Researcher
YipitDataFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need to thrive in fast-paced environments, be highly proficient in machine learning (especially deep-learning), proficient in Python, Pytorch, and Polars, with pluses for SQL-like databases like Postgres and Clickhouse, Cython in performance-sensitive settings, and financial markets knowledge.
This information is not specified in the job description.
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The team operates in an ambiguous, fast-paced, demanding start-up like environment where interns must thrive under immense responsibility for high-stakes production infrastructure, participate in on-call rotations, mentor juniors, and take ownership of projects.
Strong candidates are enthusiastic, talented individuals excited about building products from scratch, with strong proficiency in Python and Cython, who can handle high responsibility, collaborate on architecture, write clean code, and establish best practices in a fast-paced trading environment.
Quantitative trading and market-making firm
AlphaGrep specializes in quantitative trading and investment by developing and executing algorithmic trading strategies. The firm uses advanced mathematical and statistical methods to analyze large amounts of financial market data, allowing it to identify and take advantage of small inefficiencies in the market. AlphaGrep operates on over 30 exchanges worldwide, trading across all asset classes and is recognized as a leading global market maker, ranking high in trading volume on various exchanges. Unlike many competitors, AlphaGrep focuses on creating value through innovation rather than imitation, constantly seeking new opportunities in the financial markets. The company's goal is to provide liquidity and efficient market-making services to a diverse range of clients, including institutional investors, while generating revenue through its proprietary trading strategies.