- அனுபவம்
- ஏதேனும்
- சம்பளம்
- USD 350,000 – USD 500,000 / year
- காலியிடங்கள்
- 1
- பதிவுசெய்யப்பட்டது
- 2 மணி நேரம் முன்
- Work mode
- வீட்டிலிருந்து வேலை
- Eligibility
- Candidates with the required technical skills and qualifications are welcome, regardless of background, experience level, or prior employment history.
- Resume
- Required to apply
பணி விளக்கம்
Role overview
This is a full-time remote finance role supporting a client’s research and analysis needs. The position focuses on in-depth financial research to guide investment choices and broader strategic initiatives. You will work closely with teams across functions to build models and frameworks that improve financial decision-making.
Key responsibilities
- Create and apply quantitative models to study financial markets, trends, and investment opportunities.
- Carry out detailed research on financial products, economic indicators, and developments within specific sectors.
- Build and improve automated approaches for financial analysis and decision support.
- Partner with data science and engineering teams to turn research findings into scalable solutions.
- Share findings and recommendations with stakeholders, including senior leadership.
Required skills and qualifications
- Working knowledge of Python, R, or similar languages used for financial analysis and modeling.
- Hands-on experience with financial data such as market information, financial statements, and economic indicators.
- Strong grounding in quantitative finance, econometrics, or a closely related discipline.
- Ability to build, test, and improve financial models and algorithms.
- Comfort working with large datasets and turning them into practical insights.
Additional information
Location: Remote, with work possible from anywhere.
Employment type: Full-time.
Compensation: $350K to $500K per year.
The opportunity is with a global company operating in the technology, information, and internet space, offering exposure to advanced research work and next-generation finance tools.
Equal opportunity note
Selection is based on demonstrated skill and relevant expertise. Candidates from all backgrounds are encouraged to apply, and prior employment history is not a deciding factor.