Quantitative Researcher

3 hours ago

Singapore BALYASNY ASSET MANAGEMENT (SINGAPORE) PTE. LTD. Full time

**RESPONSIBILITIES**

This role will report to senior quantitative researcher who has interaction with fundamental equity teams. The Quantitative Researcher will work with the team to:

- Conduct quantitative research and analysis on projects relating to equity risk, investment process, trading, and portfolio construction working alongside and under mentorship of Senior Quantitative Researchers
- Develop insights/ provide actionable recommendations, support implementation of tools related to managing processes and as product of quantitative research, and monitor processes related to portfolio/ firm risk exposures, investment process, and portfolio construction
- Use Python/SQL for exploratory data analysis, modeling, visualization, performance evaluation and report generation
- Optimize current team analytics by redesigning workflows and improving code efficiencies
- Have the opportunity to work on a variety of investment-related equity data sets

**QUALIFICATIONS & REQUIREMENTS**

In order to effectively represent the Company and communicate with clients, must be someone who has:

- Preferably 1-2+ years of experience in a related field. The team would be open to a recent graduate of a PhD or MS program in Engineering, Computer Science, Quantitative Finance, Financial Engineering, Economics, Mathematics, Statistics or a related field. Undergraduate fresh grads will not be considered for this role.
- Preferably a PhD or MS degree in Engineering, Mathematics, Statistics, Physics, Computer Science, Quantitative Finance, Financial Engineering, Economics or another highly quantitative field
- Well-rounded students with an outstanding track record of academic achievement, broad based extra-curricular interests and a passion for financial markets
- Must have strong programming skills (Python and SQL experience required, additional language i.e. R or C++ is plus)
- Experience with Cloud, Kubernetes, Airflow, Dash, Tableau is plus.
- Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
- Prior experience working in a data driven research environment
- Experience with portfolio management, financial, portfolio construction, risk models, TCA/ transaction cost and market impact models concepts and quantitative methods is plus.
- Experience with translating mathematical models and algorithms into code
- Comfortable working with complex and large datasets
- Independent research experience or demonstrated proficiency in statistical methods and a background demonstrating strong analytical problem solving skills.
- Outstanding track record of academic achievement, and a strong interest in financial markets
- Result driven attitude, ability to work under pressure, and desire to work collaboratively within a team
- High standard of professionalism in all situations
- Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline
- Ability to communicate complex ideas clearly; solid analytical, writing, verbal, technical skills
- Outstanding attention to detail and strong organization skills
- Pragmatic and have a can-do attitude in approaching real-world investment problems

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