Our deep business and investing experience helps us identify leading indicators of future business success or failure. Our software engineering and machine learning capabilities allow us to implement this long term investing approach in a consistent, disciplined manner with scientific rigor. We automate fundamental long/short investing, not high frequency trading. Our experience as long term fundamental investors: with activist, business building, and shorting expertise, is designed into our systems. We teach the machine how to think like an experienced fundamental investor, then it learns from the data.
We are seeking an experienced and innovative Chief Technology Officer (CTO) to lead the technological growth and advancement of our quantitative hedge fund. As a CTO, you will be responsible for the development, implementation, and management of our technology infrastructure, data analysis, and machine learning models, ensuring that our firm stays at the forefront of the industry. You will collaborate with the executive team, researchers, and engineers to develop and execute the company's technology strategy while maintaining security, efficiency, and scalability.
- Develop and execute a technology strategy that aligns with the company's vision, objectives, and growth plans.
- Oversee the management and enhancement of our cloud-based infrastructure, ensuring its reliability, security, and scalability.
- Lead the design, development, and implementation of machine learning models and algorithms to enhance our trading strategies, portfolio management, and risk management.
- Collaborate with our international team of engineers to develop innovative, data-driven solutions for our quantitative investment strategies.
- Ensure that our technology infrastructure and processes comply with industry best practices and relevant regulatory requirements.
- Lead the hiring, training, and mentoring of technical staff, fostering a culture of innovation, collaboration, and continuous improvement.
- Evaluate and manage relationships with external vendors and technology partners, ensuring the quality and cost-effectiveness of their services.
- Maintain an awareness of emerging technologies, industry trends, and best practices, recommending strategic investments and partnerships where appropriate.
- Oversee the development and implementation of cybersecurity measures, ensuring the confidentiality, integrity, and availability of our data and systems.
- Communicate complex technical concepts to non-technical stakeholders, ensuring transparency and alignment between technology and business objectives.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- A minimum of 10 years of experience in technology leadership roles, preferably within the financial services or quantitative investment industry.
- Proven track record of developing and executing technology strategies, managing cloud-based infrastructure, and implementing machine learning models in a business context.
- Strong knowledge of Python, Jupyter notebooks, and AWS, as well as experience with other relevant programming languages, tools, and frameworks.
- In-depth understanding of the fundamental data and financial concepts relevant to quantitative investing.
- Fluency in English and Russian to effectively communicate with our international team of engineers.
- Excellent leadership, communication, and interpersonal skills, with the ability to inspire and manage high-performing teams.
- Strong analytical and problem-solving abilities, with a focus on data-driven decision-making and innovation.
- Knowledge of relevant regulatory requirements and industry best practices in technology, data management, and cybersecurity.
- Willingness to continually learn, adapt, and grow in a rapidly changing industry.
Bonus: Experience in quantitative asset management or a similar field, with a demonstrated understanding of its unique challenges and opportunities.