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Posted 4mo ago

Quantitative Modeling AI Consultant

@ Deloitte
Sofia, Sofia City, Bulgaria
HybridFull Time
Responsibilities:Model development, Model validation, Data analytics
Requirements Summary:Bachelor’s or Master’s in quantitative field; 2+ years relevant experience; strong Python/R/SAS/SQL/MATLAB; knowledge of AI/ML in risk; regulatory, data pipelines, governance; English proficiency.
Technical Tools Mentioned:Python, R, SAS, SQL, MATLAB, AI, Machine Learning
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Job Description
As a Consultant in Deloitte Bulgaria’s Regulatory & Financial Risk team, you will work alongside experienced professionals tackling some of the most relevant quantitative challenges in financial services. You will partner with cross-border teams, fostering innovation and analytical excellence. Your responsibilities will include:
Model Development: Contribute to the design and enhancement of models used for credit, market, or liquidity risk, using traditional and AI-based techniques.
Model Validation: Participate in the review and testing of internal models, challenging assumptions and ensuring compliance with evolving regulatory expectations.
Data Analytics: Handle complex data sets, extract meaningful patterns, and support data-driven decision-making using advanced analytics.
AI and Trustworthy AI: Explore responsible use of AI in risk management contexts, including bias detection, explainability, and alignment with regulatory and ethical standards.
Process and Governance: Contribute to the design of model governance frameworks, process reviews, and internal control testing.
Research & Innovation: Stay informed on quantitative finance advancements, machine learning, and statistical methodologies. Implement new tools to refine existing models and innovate new strategies.

How will you grow:
Our Risk, Regulatory & Financial crime practice is a global leader in helping clients manage risk and uncertainty from the boardroom to the network. We provide a broad array of services that allow our clients around the world to better measure, manage and control risk to enhance the reliability of systems and processes throughout their organization.
You will get hands-on experience with a wide range of risk modelling techniques, from traditional scorecards to cutting-edge machine learning.
You will work on high-impact projects that directly support banks, insurers, and regulators across Central Europe.
Receive mentoring and development support to help you grow into a trusted advisor.
Be encouraged to explore your interests in emerging areas like AI and digital risk, and help shape our service offering as we expand in this space
As you grow, you will gradually be given more responsibility and various assignments working directly with senior members of our client teams.