Animoca Brands, a Deloitte Tech Fast winner and ranked in the Financial Times list of High Growth Companies Asia-Pacific 2021, is a leader in digital entertainment, blockchain, and gamification that is working to advance digital property rights. It develops and publishes a broad portfolio of products including the REVV token and SAND token; original games including The Sandbox, Crazy Kings, and Crazy Defense Heroes; and products utilizing popular intellectual properties including Disney, WWE, Snoop Dogg, The Walking Dead, Power Rangers, MotoGP™, and Formula E. The company has multiple subsidiaries, including The Sandbox, Blowfish Studios, Quidd, GAMEE, nWay, Pixowl, Forj, Lympo, Grease Monkey Games, and Eden Games. Animoca Brands has a growing portfolio of more than 200 investments in NFT-related companies and decentralized projects that are contributing to building the open metaverse, including Axie Infinity, OpenSea, Dapper Labs (NBA Top Shot), Yield Guild Games, Harmony, Alien Worlds, Star Atlas, and others. For more information visit www.animocabrands.com or follow on Twitter or Facebook.
- Conduct quantitative research and analysis to develop trading strategies and investment models in the crypto market.
- Utilize statistical techniques and data analysis tools to extract insights and identify market trends.
- Design and implement trading algorithms and quantitative models to optimize trading performance and risk management.
- Collaborate with cross-functional teams to integrate quantitative research into trading strategies and investment decisions.
- Stay updated on industry trends, market developments, and regulatory changes to inform research and decision-making processes.
- Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science, or a related field, with a strong academic record.
- Minimum of 3-5 years of experience in quantitative research, preferably in the financial industry, with a demonstrated track record of success in developing and implementing trading strategies or quantitative models.
- Proficiency in programming languages such as Python, R, MATLAB, or C++ for data analysis, modeling, and algorithm development.
- Solid understanding of financial markets, including equity, fixed income, and derivatives, with a focus on the crypto market and its unique dynamics.
- Experience with quantitative research methodologies, including time series analysis, machine learning, optimization techniques, and backtesting frameworks.
- Knowledge of crypto-specific concepts such as blockchain technology, decentralized finance (DeFi), tokenomics, and smart contracts.
- Familiarity with crypto trading platforms, exchanges, and market data providers, as well as APIs for data retrieval and order execution.
- Strong analytical skills and attention to detail, with the ability to critically evaluate data, identify patterns, and draw meaningful insights.
- Excellent communication and presentation skills, with the ability to convey complex quantitative concepts to both technical and non-technical stakeholders.
- Proven ability to work collaboratively in cross-functional teams, with a proactive and solution-oriented approach to problem-solving.
- A passion for innovation and continuous learning, with a keen interest in staying abreast of the latest developments in quantitative finance, crypto markets, and emerging technologies.
THE PERKS
- Dynamic and Multi-cultural work environment (15 nationalities and counting!)
- Token and NFT incentive schemes provided by Animoca Brands
- Flat company structure: your ideas get heard by the right people very quickly
- Casual work attire
- Opportunity to get involved in working with various subsidiary brands
- Benefits (Medical / Life / Transportation Allowances)
Personal Information Collection Statement:
Personal data provided by the Job Applicant will be used strictly in accordance with the Employer's Personal Data Policies, a copy of which will be provided immediately upon his/her request. All classified data will be treated confidentially within the Human Resources & Administration Department. Personal data of unsuccessful applicants may be retained for a period of up to 3 months.
