AI Deep Learning Quantitative Trading Analyst

POSITION SUMMARY

Are you driven by the transformative power of AI in financial analysis? Nurp is seeking a seasoned AI Deep Learning Quantitative Trading Analyst to join our team. We're looking for candidates with a proven history of developing advanced financial trading algorithms and professional experience with organizations specializing in similar work.

In this role, you’ll be pivotal in enhancing algorithmic performance, forecasting market trends, and crafting innovative trading strategies. Deep learning expertise and hands-on experience with trading algorithms are essential to driving innovation in our financial solutions.

The position offers a competitive annual salary ranging from $200,000 to $260,000, plus performance-based incentives.

ABOUT THE 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 make a real impact on the future of algorithmic investing. This ethos of inclusivity and collaboration extends to wearing multiple hats and contributing to various important tasks beyond those listed here. It's a reflection of our belief in multidimensional growth and our dedication to supporting the overall development of our organization.

RESPONSIBILITIES

• Algorithmic Development: Design and implement deep learning algorithms for robust financial data analysis.
• Modeling and Forecasting: Develop predictive models using AI techniques to forecast market trends and asset prices.
• Data Analysis: Conduct in-depth analysis of financial data, utilizing statistical methods and machine learning algorithms.
• Risk Management: Assess and manage financial risks through the development of quantitative models and risk management strategies.
• Collaboration: Work closely with cross-functional teams to integrate AI models into trading strategies.
• Research and Development: Stay updated on AI and deep learning advancements to enhance existing models and propose innovative solutions.
• Programming: Proficiently code in Python, R, or MATLAB to implement and test quantitative models.
• Advanced Backtesting: Develop sophisticated backtesting models, prioritize recent data, and allow dynamic adjustments based on market conditions, enabling granular historical performance analysis with manual assignment of weights.
• Real-time Parameter Adaptation: Utilize AI techniques to create adaptive algorithms, dynamically adjusting key parameters in real-time for diverse trading environments.
• Impact Analysis on Market Sentiment: Implement NLP techniques for sentiment analysis and integrate insights into algorithmic strategies based on market sentiment.
• Market Behaviour Identification: Use data analysis and machine learning to proactively identify and navigate market anomalies.

KEY COMPETENCIES

• Expertise in Complex Algorithm Design: Proven ability to design and implement intricate deep learning algorithms for comprehensive financial data analysis, showcasing expertise in creating innovative solutions.
• AI Integration and Deployment: Expertise in leveraging AI services and deploying AI solutions on cloud platforms, particularly within AWS environments.
• AI-Driven Fundamental Analysis: Skilled in utilizing AI tools to perform fundamental analysis, extracting actionable insights from market news and integrating them into trading strategies to effectively capture volatility or mitigate risk.
• Collaborative Team Player: Strong collaborative skills with cross-functional teams, ensuring seamless integration of AI models into trading strategies for optimal performance.

EDUCATION AND EXPERIENCE

• Master's or Ph.D. in quantitative finance, financial engineering, computer science, or a related field.
• Atleast 2 years of Proven experience applying deep learning techniques and trading algorithms to financial markets.
• Proficiency in Python, R, or MATLAB and familiarity with machine learning frameworks.
• In-depth understanding of financial markets, trading strategies, and risk management principles.
• Strong analytical and problem-solving skills.

BENEFITS

• 100% Remote work.
• Performance incentives with deliverables.
• Health insurance.
• Dental insurance.
• Vision Insurance.
• Voluntary Life Insurance.
• Paid Time Off.
• Opportunities for professional development and training.
• Access to cutting-edge technologies and tools in the AI and finance domains.

COMMITMENT TO DIVERSITY

Nurp is an equal opportunity employer committed to fostering an inclusive and diverse workforce. We encourage applicants from all backgrounds to apply, regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation, or disability.