Deloitte CE

§  You have a university degree (Bachelor’s or Master’s) in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, Computer Science or Quantitative Economics.

§  You bring 1–3 years of experience in a related field or have a strong academic background supported by relevant internships or projects.

§  You have solid knowledge of Python, R, SAS/SQL, or MATLAB, and are eager to expand your skillset into areas such as AI, machine learning, and trustworthy AI in the risk domain.

§  You are motivated to gain deeper experience in quantitative risk modelling and/or validation, with a strong understanding or willingness to learn about regulatory frameworks, data pipelines, and model lifecycle governance.

§  You are curious, analytical, and purpose-driven, with:

o   Strong problem-solving abilities and an interest in applying analytics to real-world business and regulatory challenges.

o   Confidence working both independently and as part of diverse, cross-border teams.

o  Good communication skills and proficiency in English, including report writing and presenting technical content to varied audiences.

o   A professional mindset, eager to develop within one of the world's most respected consulting firms.

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.

We offer an attractive and competitive salary including a wide range of benefits:

·        Food vouchers

·       Travel allowance

·       Non-taxable payments

·       Additional health insurance

·       Extraordinary bonuses

·       Company approved holidays

·       Employee Assistance Program

·       Baby Bonus

·       Birth and Appreciation Day gifts

·       New Year gifts and Kids party

·       Study days off

·       Wellbeing Program

·       UNIQUA International travel insurance for both business and private travel

·       Unrestricted access to LinkedIn Learning and Udemy

·       Flexible Working Arrangements

For over 175 years, Deloitte has partnered with leaders worldwide—from the Global 500® to private businesses—to help them thrive and build better futures. We support their people in succeeding, all while nurturing our communities. With a workforce of 467,000 of the industry’s greatest minds, Deloitte leads as the premier professional firm globally by delivering real, measurable results.

Deloitte Bulgaria’s Regulatory & Financial Risk team operates as part of the regional Deloitte Central Europe - cluster South. We help organizations identify and manage risks affecting their business. We specialize in credit, market, and liquidity risk, with a growing focus on non-traditional and emerging risks, including model risk, ESG, and the application of trustworthy AI. Our approach combines technical depth in modelling with a solid understanding of regulatory expectations and digital innovation.