Data Scientist with Financial Expertise

We are seeking a highly skilled and knowledgeable Data Scientist with a strong background in finance and cryptocurrency markets. The ideal candidate will be responsible for developing predictive models, analyzing market trends, and providing insights into Bitcoin trading and risk assessment.

Key Responsibilities:

- Develop, test, and deploy predictive models to assess financial risks and opportunities in the Bitcoin market.
- Analyze large datasets to identify trends, correlations, and patterns relevant to cryptocurrency trading.
- Collaborate with software development teams to integrate data models into our platform.
- Stay up-to-date with the latest trends and developments in cryptocurrency and financial markets.
- Prepare and present reports and findings to the management and stakeholders.

Qualifications:

- Advanced degree in Data Science, Statistics, Mathematics, Economics, Finance, or a related field.
- Proven experience in financial modeling and analysis, preferably in cryptocurrency or related markets.
- Strong programming skills in Python, R, or similar languages, with experience in machine learning libraries and statistical analysis.
- Familiarity with blockchain technology and its implications in finance.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

- Experience with big data technologies and cloud platforms (e.g., AWS, Azure).
- Prior work experience in a fintech company or a financial institution.
- Publications or presentations in relevant fields.

What We Offer:

- Competitive salary: $3,000 CAD /month with a 13th month payment.
- Opportunity to work in an exciting and rapidly evolving industry.
- A dynamic and supportive work environment with opportunities for professional growth.

How to Apply:

- Please submit your resume, a cover letter explaining your interest and qualifications for the position, and any relevant work samples or portfolio links.