استخدام Financial Data Scientist Intern

About Hermes Capital

Hermes Capital stands at the forefront of financial innovation in the Iranian markets, renowned for its expertise in the high-stakes realm of cryptocurrency arbitrage in the Iranian exchanges and the TSE. Our firm operates with a sharp focus on identifying and acting upon price inefficiencies in the volatile world of digital currencies. By bridging the gap between differing valuations across multiple exchanges, we serve as a catalyst for market efficiency and liquidity.

In an environment where milliseconds can Mean the difference between profit and loss, Hermes Capital leverages cutting-edge technology and advanced analytical techniques to maintain a competitive edge. Our strategies are powered by rigorous data analysis, real-time market Monitoring, and a sophisticated technological infrastructure that enables us to execute high-frequency trades with precision.

Position Overview

The Financial Data Analyst Intern at Hermes Capital will play a supportive role within our quant team, assisting in analyzing financial data to uncover arbitrage opportunities within the cryptocurrency sector. This internship offers a unique blend of learning opportunities in data analysis, market research, and the application of technology in finance, tailored for individuals passionate about the dynamics of financial markets and emerging digital currencies.

At Hermes Capital you will:

• Conduct thorough examinations of market dynamics, anticipating shifts that signal profitable trades.
• Employ advanced data management practices to curate and interpret vast datasets, transforming them into actionable intelligence.
• Collaborate closely with our team of quants and developers to craft algorithms that capitalize on arbitrage opportunities swiftly and efficiently.
• Present findings in a clear, concise manner using high-caliber visualization tools, aiding decision-making processes across the firm.

In this role, adaptability is key. Due to their adversarial and ever-changing nature, financial markets present unique challenges and opportunities, and our firm prides itself on being agile enough to navigate and capitalize on this terrain. You will be expected to harness your technical skills to not only adapt to this environment but also to shape the strategies that will keep Hermes Capital at the vanguard of the industry.

Key Responsibilities

• Data Management:
• Manage the influx of real-time data, maintaining immediate access to current market intel.
• Architect and sustain extensive databases geared towards comprehensive historical data analysis and strategic planning.
• Market Analysis:
• Continuous Monitoring of price discrepancies across various platforms, to identify and exploit arbitrage opportunities in real-time.
• Performing in-depth market trend analysis to forecast potential price inefficiencies.
• Assessing liquidity conditions to ensure trade execution is both strategic and efficient, maintaining market stability.
• Reporting and Communication:
• Construct comprehensive reports, employing tools like Plotly for dynamic and engaging visual data representations.
• Statistical Analysis & Modeling (Recommended):
• Design statistical models aimed at arbitrage opportunity detection, when necessary.
• Craft risk assessment models to quantify and manage trade-associated financial risks.

Candidate Profile

• A relentless advocate for high-quality, scalable, and performance-driven solutions that remain simplistic and maintainable.
• Self-motivated with the initiative to independently drive projects to completion.
• Comfortable with uncertainty and open to handling unpredictable situations as they arise in problem-solving.
• Committed to ongoing learning and researching, proactively delving into literature and studies to discover innovative solutions.
• A supportive team player who values knowledge sharing and continuous personal and professional development.

Technical Expertise

• Basic Python skills and familiarity with data handling and visualization techniques.
• Interest in machine learning and its applications in financial market analysis.
• Introductory knowledge of statistical analysis, with a desire to apply it in finance.
• Eagerness to learn econometric models and time-series analysis in financial contexts.
• Curiosity about algorithmic trading and strategy development, with or without prior experience.