(25) Top AI Finance Jobs

(25) Top AI Finance Jobs

By 2025, artificial intelligence is no longer a side tool in finance—it’s a driving force behind investment strategies, compliance, client services, and even executive decision-making. Hedge funds and banks are competing fiercely for AI talent, with some offering million-dollar packages. Generative AI now writes IPO reports, predicts market scenarios, and personalizes wealth management, while regulators are demanding explainable AI to ensure transparency. For professionals, this means new opportunities in emerging AI-first roles and rising demand for hybrid skills that combine financial expertise with cutting-edge technology. Here’s a look at some of the top AI-driven jobs in finance for 2025, along with the skills you’ll need to succeed.

  1. Chief AI Officer – Leads the organization’s AI vision, strategy, and governance at the executive level.
    • Tech to know: AI governance, enterprise AI platforms, leadership strategy
    • Typical Pay Range: $300,000 – $500,000+

  2. AI/Machine Learning Engineer for Hedge Funds – Builds advanced AI/ML models to drive trading and portfolio performance.
    • Tech to know: Python, TensorFlow, quantitative modeling
    • Typical Pay Range: $200,000 – $400,000 base plus bonuses

  3. Generative AI Strategy Lead – Oversees development of generative AI tools for modeling, forecasting, and client services.
    • Tech to know: Large language models, NLP, generative AI frameworks
    • Typical Pay Range: $180,000 – $300,000

  4. Corporate Development & Investor Relations Director – Uses AI to optimize M&A planning and investor communications.
    • Tech to know: AI analytics, BI dashboards, financial modeling
    • Typical Pay Range: $220,000 – $260,000

  5. AI-Powered Finance Manager – Integrates AI forecasting into planning, budgeting, and scenario analysis.
    • Tech to know: NetSuite, Adaptive Planning, AI FP&A tools
    • Typical Pay Range: $150,000 – $190,000

  6. Staff Analyst, Personal Loans – Applies AI/ML to underwriting and loan performance optimization.
    • Tech to know: Python, SQL, Scikit-learn
    • Typical Pay Range: $157,000 – $218,000

  7. Treasury Manager – Uses AI to guide liquidity management, capital strategy, and cash forecasting.
    • Tech to know: Generative AI, Kyriba, TreasuryXpress
    • Typical Pay Range: $122,000 – $175,000

  8. Middle Office Analyst – Employs AI tools to streamline reconciliation and trading operations.
    • Tech to know: Python, SQL, workflow automation
    • Typical Pay Range: $120,000 – $160,000

  9. Strategic Insights & Planning Consultant – Leverages AI for long-term business and financial planning.
    • Tech to know: AI strategy platforms, analytics, data visualization
    • Typical Pay Range: $155,000 – $190,000

  10. FP&A Manager – Uses AI to strengthen forecasts, variance analysis, and reporting.
    • Tech to know: Power BI, Oracle, AI forecasting models
    • Typical Pay Range: $105,000 – $120,000

  11. Internal IT Auditor (AI Risk Focus) – Audits AI-driven systems and ensures regulatory compliance.
    • Tech to know: AuditBoard, automation frameworks, risk analytics
    • Typical Pay Range: $88,000 – $122,000

  12. Director of Payments Engineering – Develops AI-powered payment infrastructure with generative AI and fraud protection.
    • Tech to know: Generative AI, payments systems, cybersecurity
    • Typical Pay Range: $155,000 – $410,000

  13. AI Earnings Model Developer – Builds AI tools that generate IPO write-ups and automate equity research.
    • Tech to know: Generative AI, NLP, financial analytics
    • Typical Pay Range: $160,000 – $250,000

  14. AI Ethics Specialist – Ensures fairness, transparency, and explainability in financial AI models.
    • Tech to know: Ethical AI frameworks, regulatory standards
    • Typical Pay Range: $130,000 – $200,000

  15. AI-Powered Financial Analyst – Uses AI to analyze financial data, identify trends, and make investment recommendations.
    • Tech to know: Python, Bloomberg Terminal, IBM Watson
    • Typical Pay Range: $95,000 – $150,000

  16. AI Risk Management Specialist – Uses AI to evaluate risks, predict market volatility, and protect assets.
    • Tech to know: SAS, Palantir, TensorFlow
    • Typical Pay Range: $100,000 – $160,000

  17. AI-Powered Investment Manager – Applies AI algorithms to optimize portfolios and generate returns.
    • Tech to know: MATLAB, AlphaSense, QuantConnect
    • Typical Pay Range: $110,000 – $190,000

  18. AI Compliance Analyst – Uses AI to monitor financial activity and ensure regulatory compliance.
    • Tech to know: ComplyAdvantage, IBM OpenPages, Actico
    • Typical Pay Range: $90,000 – $140,000

  19. AI Fraud Detection Specialist – Deploys AI to identify fraudulent transactions in real-time.
    • Tech to know: Darktrace, Feedzai, DataVisor
    • Typical Pay Range: $95,000 – $150,000

  20. AI Financial Software Developer – Builds AI-powered applications for trading, forecasting, and compliance.
    • Tech to know: Python, Java, TensorFlow
    • Typical Pay Range: $110,000 – $170,000

  21. AI-Driven Trading Specialist – Automates trades and strategies using AI-based predictive analysis.
    • Tech to know: MetaTrader, QuantConnect, Alpaca
    • Typical Pay Range: $110,000 – $190,000

  22. AI Financial Data Scientist – Analyzes large datasets with AI to guide strategic financial decisions.
    • Tech to know: Python, R, Hadoop
    • Typical Pay Range: $110,000 – $180,000

  23. AI Treasury Analyst – Uses AI models to manage risk, liquidity, and treasury functions.
    • Tech to know: Fiserv, TreasuryXpress, AI forecasting
    • Typical Pay Range: $95,000 – $150,000

  24. AI-Powered Hedge Fund Manager – Uses AI models to uncover opportunities and outperform benchmarks.
    • Tech to know: AlphaSense, QuantConnect, MetaTrader
    • Typical Pay Range: $130,000 – $210,000

  25. AI-Powered Loan Officer – Uses AI systems to assess loan eligibility and accelerate approvals.
    • Tech to know: Blend, Zest AI, Ocrolus
    • Typical Pay Range: $85,000 – $130,000

As AI continues to evolve in the finance sector, professionals who embrace these technologies will stay competitive. From executive-level AI leadership roles to AI-powered risk specialists, the opportunities to shape the financial industry’s future are greater than ever.

Trends to Watch in 2025

  1. Hedge funds are offering record-breaking salaries to attract AI talent, with base packages reaching $400,000 and total compensation nearing $1 million.

  2. Generative AI is now a standard tool in banking, from drafting IPO prospectuses to building predictive client portfolios.

  3. Chief AI Officers are appearing in boardrooms, reflecting AI’s importance to corporate strategy.

  4. Remote and hybrid AI leadership roles are expanding, making high-paying jobs accessible worldwide.

  5. Ethical and explainable AI are critical, with regulators demanding transparency in financial AI systems.

  6. Firms that relied too heavily on AI without human oversight are reversing course, showing the need for human-AI collaboration.

Work with a Top Houston Recruiter

If you’re considering a career move and want to ensure a smooth transition, Murray Resources can help. We specialize in helping professionals like you find new opportunities that align with your goals. Take a look at our current job openings or contact us today to get started.