Nurp
Overview
AI/ML Trading Quantitative Analyst (Remote) at Nurp. This role focuses on advancing Nurp’s algorithmic trading capabilities through AI/ML techniques, backtesting, forecasting, and developing high-performing trading algorithms. Note:
The following content preserves original job information and responsibilities while improving formatting for clarity and accessibility. 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. Seniorities
Mid-Senior level Employment Type
Full-time Job Function
Research, Analyst, and Information Technology Referrals increase your chances of interviewing at Nurp by 2x
#J-18808-Ljbffr
AI/ML Trading Quantitative Analyst (Remote) at Nurp. This role focuses on advancing Nurp’s algorithmic trading capabilities through AI/ML techniques, backtesting, forecasting, and developing high-performing trading algorithms. Note:
The following content preserves original job information and responsibilities while improving formatting for clarity and accessibility. 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. Seniorities
Mid-Senior level Employment Type
Full-time Job Function
Research, Analyst, and Information Technology Referrals increase your chances of interviewing at Nurp by 2x
#J-18808-Ljbffr