AI for Finance Specialist

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

AI/ML Python SQL Financial Modeling Time-series analysis Financial Regulations

FULL DESCRIPTION

Summary

[Employer hidden — view at passion-project.co.uk] is hiring an AI for Finance Specialist to design AI/ML models for fraud detection, credit scoring, algorithmic trading, and risk modeling. The role involves collaborating with data scientists, engineers, and finance professionals to deliver high-impact solutions, ensuring model accuracy and compliance, and contributing to AI strategies within financial products and platforms.

Key Responsibilities

  • Designing AI/ML models for fraud detection, credit scoring, algorithmic trading, and risk modeling
  • Leveraging predictive analytics to improve financial forecasting and portfolio optimization
  • Collaborating with data scientists, engineers, and finance professionals to deliver high-impact solutions
  • Ensuring model accuracy, fairness, and regulatory compliance (e.g., FCA, GDPR)
  • Working with time-series data and building robust, scalable financial AI pipelines
  • Contributing to the development of AI strategies within financial products and platforms

Core Requirements

  • Strong background in AI/ML with applications in finance, banking, or fintech
  • Experience with financial datasets, time-series modeling, and statistical analysis
  • Proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Familiarity with financial regulations and compliance considerations
  • Excellent communication skills with the ability to work cross-functionally
  • Degree in Finance, Computer Science, Data Science, or related field; advanced degree is a plus

What You’ll Be Working On:


Designing AI/ML models for fraud detection, credit scoring, algorithmic trading, and risk modeling
Leveraging predictive analytics to improve financial forecasting and portfolio optimization
Collaborating with data scientists, engineers, and finance professionals to deliver high-impact solutions
Ensuring model accuracy, fairness, and regulatory compliance (e.g., FCA, GDPR)
Working with time-series data and building robust, scalable financial AI pipelines
Contributing to the development of AI strategies within financial products and platforms

What We’re Looking For:

Strong background in AI/ML with applications in finance, banking, or fintech
Experience with financial datasets, time-series modeling, and statistical analysis
Proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Familiarity with financial regulations and compliance considerations
Excellent communication skills with the ability to work cross-functionally
Degree in Finance, Computer Science, Data Science, or related field; advanced degree is a plus

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