Quantitative Investment Strategist

Quantitative Investment Strategist

POSITION SUMMARY

We are actively searching for a dynamic and seasoned Quantitative Investment Strategist to join our team and take the lead in pioneering the development of algorithmic trading strategies. In this capacity, you will assume responsibility for conceiving innovative trading strategies, meticulously designed for algorithmic trading, right from the conceptual stage. These ingenious strategies will be transformed into automated trading algorithm programs targeted for the B to C market. As a pivotal team member, you will occupy a central role in the conception and orchestration of novel algorithmic strategies, overseeing the entire lifecycle from inception to market introduction.

ABOUT OUR COMPANY

Nurp pioneers the convergence of modern and future investing through emerging technologies. Our advanced algorithmic trading programs and comprehensive forex trading systems challenge traditional investment models, propelling algorithmic investing for unparalleled success.

At Nurp, we're committed to fostering a culture of transparency, honesty, and openness. Joining Nurp means more than just a job—it's an invitation to embark on a journey of growth, discovery, and limitless potential. Here, you'll have the opportunity to collaborate with diverse and talented individuals, contribute to meaningful projects, and impact the future of algorithmic investing. This ethos of inclusivity and collaboration extends to wearing multiple hats and contributing to various vital tasks beyond those listed here. It reflects our belief in multidimensional growth and our dedication to supporting the overall development of our organization.

PERFORMANCE OBJECTIVES

• Create innovative algorithmic trading strategies tailored specifically for the commodity and currency markets, commencing from the conceptual stage.
• Supervise and lead the rigorous testing and validation process for these strategies, ensuring their robustness and effectiveness.
• Collaborate closely with our development teams to transform these strategies into fully automated algorithmic programs, optimizing them for performance and efficiency.
• Exhibit a high level of analytical proficiency by deciphering intricate datasets and market trends, enabling the identification of patterns and informed decision-making. This includes the development of algorithms to explore extensive datasets and resolve complex challenges.

KEY COMPETENCIES

The requirements listed below are representative of the knowledge, skill, and/or ability required to be successful in this role but are not necessarily all-inclusive.

• Mathematical and Statistical Mastery: Apply advanced mathematical and statistical techniques to formulate trading strategies, build models, and analyze data effectively.
• Problem-Solving Excellence: Showcase exceptional problem-solving skills to address intricate issues related to data analysis, modeling, and trading strategies. Demonstrate the ability to create precise algorithms for tackling data-related challenges.
• Technical Competence: Display competence in using programming languages, analytical tools, and cutting-edge technologies to analyze data and formulate innovative trading strategies.
• Effective Communication: Skillfully communicate complex concepts and trading strategies to non-technical stakeholders in a clear and concise manner, facilitating understanding and buy-in.
• Adaptability: Exhibit adaptability by staying responsive to shifting market conditions, emerging technologies, and evolving trading strategies, ensuring strategies remain relevant and competitive.
• Attention to Detail: Uphold a meticulous approach with a keen focus on accuracy and thoroughness, especially when dealing with extensive datasets and intricate trading strategies.
• Collaborative Teamwork: Work harmoniously within the team, fostering collaboration and mutual support to achieve shared goals and objectives.
• Business Acumen: Demonstrate a solid understanding of financial markets, trading strategies, and the operational dynamics within the financial industry, ensuring strategies are aligned with broader business goals.

EDUCATION AND EXPERIENCE

• Bachelor's degree or higher in a quantitative field such as mathematics, statistics, physics, computer science, or engineering. (Required)
• Minimum (5) years of experience with statistical software packages and programming languages such as Python, R, MATLAB, and/or compiled languages (e.g. C++). (Required)
• Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field. (Required)
• Minimum (5) years of experience as a quantitative analyst in the financial industry formulating technical trading strategies based on previous price action, and backtesting the data. (Required)
• Knowledge and experience in financial markets, trading strategies, and related products. (Required)
• Minimum (5) years of experience in live testing and optimizing trading algorithms based on inefficiencies. (Required)
• A proven track record of developing successful trading strategies. (Required)
• Proficiency in probability & statistics (e.g. time-series analysis, machine learning, pattern recognition, NLP). (Required)
• A background demonstrating strong analytical problem-solving skills. (Required)\

BENEFITS

• Revenue share bonus plan.
• 100% Remote work.
• Health insurance.
• Dental insurance.
• Vision Insurance.
• Voluntary Life Insurance.
• Accident insurance.
• Hospital insurance.
• Paid Time Off.
• Professional development and training opportunities.
• Free or large discounted access to company products.

COMMITMENT TO DIVERSITY

As an equal opportunity employer committed to meeting the needs of a multigenerational and multicultural workforce, Nurp recognizes that a diverse staff, reflective of our community, is an integral and welcome part of a successful and ethical business. We hire local talent at all levels regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation, or disability and actively foster inclusion in all forms both within our company and across interactions with clients, candidates, and partners.