Position Summary

Are you driven by the transformative power of AI in financial analysis? Nurp is seeking a seasoned AI/ML Trading Quantitative Analyst to join our team. You must have a proven track record of building advanced financial trading algorithms within established institutional firms.In this role, you’ll play a critical part in advancing Nurp’s algorithmic trading capabilities. Responsibilities include backtesting and optimizing existing algorithms in the Nurp suite, forecasting market trends, and developing your own high-performing trading algorithms from inception to deployment. These will contribute directly to our algorithmic offerings. Success in this position requires a strong foundation in machine learning, a deep understanding of market dynamics, and proven experience working with institutional-grade trading systems.The position offers a competitive annual salary ranging from $200,000 to $260,000, plus a revenue share compensation component.

About The Company

Nurp builds smart trading algorithms that help people trade more effectively across multiple markets, including forex, gold, and more. We’re reshaping the way people invest by using powerful, data-driven technology instead of outdated methods. At Nurp, we’re focused on growth, both in the markets we serve and in the people we hire. This is a place for driven, results-oriented individuals who want to take ownership, learn quickly, and make an impact. You’ll work alongside a talented team, contribute to meaningful projects, and help shape the future of algorithmic trading. We move fast and wear many hats, creating constant opportunities for personal and professional growth.

Responsibilities

Algorithmic Development: Design and implement machine 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 machine 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.
AWS Deployment: Deploy and manage AI models in AWS environments, ensuring scalability, security, and performance.
Perform other related duties as necessary or assigned.

KEY COMPETENCIES

Expertise in Complex Algorithm Design: Proven ability to design and implement intricate machine 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.
Market Data Handling: Competent in managing, structuring, and feeding broker or market data into modeling pipelines.
Collaborative Team Player: Strong collaborative skills with cross-functional teams, ensuring seamless integration of AI models into trading strategies for optimal performance.
Strong Communication: Clear written and verbal communication skills to explain complex ideas and collaborate effectively.
Highly Organized: Dependable, detail-oriented, and consistent in meeting deadlines and delivering quality outputs.

Education And Experience

Master's or Ph.D. in quantitative finance, financial engineering, computer science, or a related field.
At least 2 years of Proven experience applying machine learning techniques and trading algorithms to financial markets.
At least 7 years of experience working within a financial institution, hedge fund, prop desk, or fintech company.
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.
Revenue share compensation component
Health insurance.
Dental insurance.
Vision Insurance.
Voluntary Life Insurance.
Paid Time Off.
Opportunities for professional development and training.
Access to our product and services at significant discounts and, in some instances, free

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.

Nurp

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AI/ML Trading Quantitative Analyst (Remote)