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AI Deep Learning Quantitative Analyst (Remote)

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Nurp

AI Deep Learning Quantitative Analyst (Remote)

Miami, FL
Full Time
Paid
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  • Responsibilities

    POSITION SUMMARY

    Are you passionate about the potential of AI to revolutionize financial analysis? Nurp is actively seeking an experienced AI Deep Learning Quantitative Analyst. If you have a proven track record in crafting sophisticated financial trading algorithms, this role offers a unique opportunity. As a key contributor, you'll be instrumental in advancing algorithms, forecasting market trends, and shaping cutting-edge trading strategies. Your deep learning expertise will drive innovation in our financial solutions.

    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.

    • Demonstrated Skills in Predictive Analytics: Demonstrated proficiency in developing accurate predictive models using AI techniques, contributing to precise forecasts of market trends and asset prices.

    • Data Analysis Proficiency: In-depth experience in conducting thorough financial data analysis, utilizing statistical methods and machine learning algorithms for informed decision-making.

    • Innovator in AI Solutions: Proven ability to innovate in AI solution development, particularly in the design and implementation of advanced algorithms for financial analysis.

    • Collaborative Team Player: Strong collaborative skills with cross-functional teams, ensuring seamless integration of AI models into trading strategies for optimal performance.

    Advanced Backtesting

    * Leverage AI to develop a sophisticated backtesting model that can take into account a lot of price history while prioritizing more recent data and also allowing for dynamic adjustments in weighting based on market conditions (example - automatically reducing weighting for outliers such as periods of extreme black swan event driven volatility).
* Fine-tune the backtesting model to provide flexibility in manually assigning weights to specific years, enabling a granular analysis of historical performance. Implement functionality to selectively emphasize or exclude particular years, providing a customizable approach to historical data analysis.
* Based on insights garnered from backtesting, suggest improvements to the strategy logic being backtested (whether use of different indicators, inputs, triggers etc.)

    Dynamic adjustment of Parameters

    * Utilize AI techniques to create adaptive algorithms capable of dynamically adjusting key parameters in real-time based on changing market conditions.
* Ensure the algorithms are responsive to varying volatility, liquidity, and other market dynamics, providing adaptability in diverse trading environments.

    Sentiment Analysis for Fundamental Events

    * Implement natural language processing (NLP) techniques to extract and analyze sentiment from textual data in reports related to key fundamental events. Using this insight, assign a weighting on these events from bullish to bearish sentiments.
* Integrate the sentiment model as an input into algorithmic strategies, enabling the algorithms to incorporate market sentiment in decision-making processes.

    Identification of Market Anomalies

    * Employ data analysis and machine learning techniques to identify situations in the market where a majority of participants are positioned in the same direction.
* Implement anomaly detection mechanisms that contribute to a proactive approach in navigating market conditions and capitalizing on contrarian opportunities.

    EDUCATION AND EXPERIENCE

    • Master's or Ph.D. in quantitative finance, financial engineering, computer science, or a related field.

    • 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.

    PHYSICAL REQUIREMENTS

    • Prolonged periods sitting at a desk and working on a computer.

    • Must be able to lift up to 25 pounds at times.

    • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential requirements.

    BENEFITS

    • 100% Remote work.

    • 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.