Machine Learning Researcher
ElevenLabsSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, TradingIndustries
Requirements
- Able to thrive in an extremely fast-paced, demanding start-up like environment
- Able to bear immense responsibility for high-stakes, large-scale production infrastructure
- Highly proficient in machine learning, with preference towards deep-learning architectures
- High proficiency in Python and proficient in PyTorch and Polars
- Experience with SQL-like databases, such as Postgres and ClickHouse (plus)
- Experience with Cython in a performance sensitive environment (plus)
- Some knowledge of financial markets and instruments (plus)
Responsibilities
- Create robust data ETL pipelines that clean and process raw data
- Research and implement features that are consumed in a machine learning trading pipeline
- Write clean, well-documented code with appropriate test coverage
- Assist in troubleshooting and debugging production issues
- Be on-call on a rotating basis
- Help establish engineering best practices and coding standards
- Mentor future junior team members as we scale
- Take ownership of smaller projects and features from design to deployment
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What programming languages and tools are required for this Quantitative Researcher role?
High proficiency in Python is required, along with proficiency in PyTorch and Polars. Experience with Cython in performance-sensitive environments and SQL-like databases such as Postgres and ClickHouse are pluses.
What is the salary or compensation for this position?
This information is not specified in the job description.
Is this Quantitative Researcher role remote or does it require office work?
This information is not specified in the job description.
What is the work environment like at 0epsilon?
The team operates in an extremely fast-paced, demanding start-up like environment where candidates must thrive in ambiguity, bear immense responsibility for high-stakes production infrastructure, and be on-call on a rotating basis.
What makes a strong candidate for this Quantitative Researcher position?
Ideal candidates have strong experience in Python and Cython, thrive in ambiguous fast-paced environments, are highly proficient in machine learning especially deep-learning, and have a passion for data with some knowledge of financial markets as a plus.
AlphaGrep Securities
Quantitative trading and market-making firm
About AlphaGrep Securities
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.
None, Hong KongHeadquarters
2010Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
201-500Employees