Join Our Journey
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The Role:
• Research and deploy AI-driven scalable alpha research system on both equity-level and macro-level through our proprietary data infra & distributed computing infra.
• Manage the portfolio for the index & ETFs listed on the NYSE.
• Collaborate, not compete, with highly driven colleagues
Qualifications:
• Proficient in Python as a research programming language with various packages (numpy, pandas, cvxpy, sci-kit-learn, ...)
• Experience using machine learning frameworks such as PyTorch and Tensorflow
• Experience in Reinforcement Learning and sequential modeling of dynamics
• Basic understanding of quantitative investment and simulation
• Someone who likes to develop by sharing knowledge and collaborating with colleagues
Preference:
• Those who have a master's degree or higher and have experience in publishing SCI journals or equivalent research experience
• Those with experience in using databases such as MongoDB, and PostgreSQL.
• Those who have experience in large-scale machine learning or reinforcement learning projects (for example ray)
• Those with experience in setting up investment strategies and backtesting using data sources such as macroeconomic and fundamental data.
• Those with experience in version control and collaboration experience through Git, etc.
What we offer:
• Competitive compensation.
• Opportunity to grow globally with the best team members
• Working in a friendly environment but with highly driven colleagues
• 1 minute from Gangnam Station
• Collaborative culture and competency-oriented work culture
• Providing the best development equipment and infrastructure.
• Free use of annual leave
• Birthday leave support
Process: Resume Submission -> Coding Test -> Interview
We are not currently conducting regular recruitment, but you can register for our talent pool.
Apply link: https://akrostec.career.greetinghr.com/o/59864
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The Role:
Design and develop technology-based automated engines for index design.
Enhance design engines for structured indices using on-exchange options, LLM-based thematic indices, asset allocation indices, and factor indices.
Advance the automation of operations for designed indices.
Qualifications:
High proficiency in Python and data processing.
Understanding of factor indices, options, and thematic indices.
Knowledge in writing simulation codes.
Passionate focus on automation and efficiency.
Preference:
Understanding of LLM training and Prompt Strategies like CoT and ToT.
Knowledge in SQL query optimization.
Experience with scheduling tools such as Prefect and Airflow.
Familiarity with k8s infrastructure.
Understanding of distributed data processing.
What We Offer:
A role that provides significant opportunities for growth and development in the field of index engineering.
Exposure to advanced technological tools and methodologies in index design and operations.
A collaborative and innovative work environment with a team of skilled professionals.
Competitive compensation and benefits.
Opportunities for professional development and continuous learning.
Apply link:
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TBA