Job Overview
A fintech company is hiring an AI-Driven Portfolio Optimization Strategist to integrate machine learning models into investment decision-making. This role involves leveraging AI to enhance asset allocation, risk assessments, and portfolio performance.
You will work closely with quantitative analysts, data scientists, and portfolio managers to refine AI-driven investment strategies. This position is crucial for improving portfolio efficiencies through automation and predictive analytics.
Responsibilities:
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Develop AI-powered portfolio optimization models.
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Utilize machine learning for investment risk assessment.
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Implement automation for asset allocation strategies.
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Ensure compliance with global investment regulations.
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Work with data scientists to improve financial modeling.
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Conduct backtesting on AI-driven trading models.
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Stay updated on AI advancements in finance.
What You’ll Bring:
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Strong expertise in AI and quantitative finance.
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Experience in machine learning applications for investment management.
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Analytical skills for portfolio risk assessment.
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Knowledge of financial regulations and compliance.
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Strong collaboration and problem-solving abilities.
Qualifications:
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Bachelor’s degree in Finance, Data Science, or related field.
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5+ years of experience in AI-driven financial analysis.
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Certifications in AI, CFA, or risk management preferred.
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Proficiency in Python, R, and portfolio modeling tools.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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