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Assistant Manager - Financial Services Risk Management (AI,Machine Learning & Quantitative Analytic)

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Assistant Manager - Financial Services Risk Management (AI, Machine Learning & Quantitative Analytic)

This role is ideal for engineers and data scientists who want to apply advanced analytics to real-world financial-risk problems - building, training, and deploying models that power credit scoring, fraud detection, early warning systems, and capital forecasting.

Location: TBC

Languages: English (Mandatory)

Experience: 3-6 years

Industry Focus: Open - Banking experience (Software, Data Science, or FinTech background welcome)

Job Summary

EY's Financial Services Risk Management (FSRM) practice seeks a technically strong Assistant Manager with expertise in machine learning, data science, and software development.

Key Responsibilities
  • Machine Learning Model Development: develop, train, and optimize supervised and unsupervised learning models using Python, R, or equivalent frameworks.
  • Apply algorithms such as regression, ensemble methods, time series forecasting, anomaly detection, NLP, and deep learning.
  • Design modular, reusable model pipelines with clear versioning and reproducibility.
  • Data Engineering & Feature Design: build and maintain data pipelines for model training and inference using SQL and modern data frameworks (e.g., PySpark, Airflow, Azure Data Factory).
  • Conduct feature engineering, data cleaning, and quality assurance for large structured and unstructured datasets.
  • Automate model retraining and validation workflows.
  • Model Deployment & MLOps: deploy ML models into production environments using containerization (Docker), APIs (FastAPI/Flask), or cloud ML services (Azure ML, AWS SageMaker, GCP Vertex).
  • Implement monitoring, drift detection, and performance dashboards for live models.
  • Collaborate with EY's technology teams to integrate models into client systems securely and efficiently.
  • Collaboration & Development Support: work closely with quantitative and regulatory experts to translate conceptual requirements into technical prototypes.
  • Contribute to EY's internal accelerators and reusable AI components for risk analytics.
  • Document code, model assumptions, and testing protocols following EY quality standards.
  • Innovation & Research: explore emerging AI technologies (e.g., transformer models, generative AI, graph analytics) for potential application in financial-risk contexts, and participate in hackathons, PoCs, and innovation sprints within EY's global AI community.
Skills & Attributes For Success
  • Advanced programming skills in Python (pandas, scikit learn, TensorFlow, PyTorch) or R.
  • Proficiency in SQL and familiarity with NoSQL or cloud native data systems.
  • Strong understanding of ML pipeline design, data preprocessing, and model evaluation techniques.
  • Experience with API deployment, containerization, and MLOps practices.
  • Solid mathematical and statistical foundation (probability, linear algebra, optimization).
  • Curiosity to learn financial risk concepts while maintaining engineering excellence.
  • Collaborative, agile mindset with strong problem solving and debugging skills.
To Qualify for the Role, You Must Have
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or related field.
  • 3-6 years of experience in software development, machine learning, or AI engineering (consulting or product environment).
  • Demonstrated experience deploying ML models or analytics products in real world settings.
  • Working knowledge of cloud platforms (Azure, AWS, or GCP).
Ideally, You'll Also Have
  • Experience with version control (Git), CI/CD pipelines, and model registry tools (MLflow, DVC).
  • Exposure to RESTful API design, microservices, or front end data visualization (e.g., Power BI, Streamlit).
  • Familiarity with risk or finance data is a plus but not required.
  • Contribution to open source or academic research projects.
Seniority level

Mid Senior level

Employment type

Full time

Job function

Finance and Sales

Industries

Professional Services

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