Associate Director

Uniqus is a tech-enabled global consulting company that specializes in Accounting & Reporting Consulting (ARC), Governance, Risk & Compliance (GRC), Sustainability & Climate Consulting (SCC), and Tech Consulting by leveraging high-performing global talent. Our consulting solutions are backed by proprietary tech assets.

Our global delivery model and tech stack set us apart, enabling us to provide best-in-class solutions in a highly cost-efficient manner.

Free from auditor independence conflicts and supported by proprietary technology assets, Uniqus delivers seamless, end-to-end solutions that help clients solve complex business challenges in real time. Our philosophy is to enable talent to be a part of the value creation through an attractive stock option pool.

We are seeking a dynamic and experienced leader to drive our Financial risk management practice — combining expertise across Market Risk, Credit Risk, Working Capital Optimization, and Regulatory Reporting and more.

The role involves leading high-impact projects, advising financial institutions on regulatory change, risk frameworks, and capital optimization, while developing and mentoring cross-functional teams. The ideal candidate brings strong quantitative, regulatory, and consulting acumen, along with a strategic mindset to shape Uniqus’ growing risk and regulatory practice.

• Lead development, validation, and documentation of Market Risk and Credit Risk models, including FRTB, VaR, Stressed VaR, ECL, and Stress Testing frameworks.
• Demonstrate strong understanding of valuation methodologies for Fixed Income, Equity, Derivatives, and Structured Products.
• Govern end-to-end model lifecycle including business requirement documentation (BRD), validation reports, model governance, and regulatory compliance.
• Advise clients on model risk management frameworks, model monitoring, and capital computation approaches.

• Lead transformation projects on regulatory reporting, ensuring compliance with Basel III/IV, BCBS 239, ICAAP, ILAAP, and Risk-Based Supervision (RBS) requirements.
• Drive design and implementation of Regulatory Reporting Frameworks, including data management, validation, governance, and submission.
• Provide guidance on Reg Tech and Sup Tech adoption to enhance efficiency, accuracy, and automation in risk and regulatory processes.
• Support regulatory change management and help clients interpret and operationalize evolving requirements.
• Design and implement credit risk frameworks, credit policies, and risk appetite statements for financial institutions and corporates.
• Advise corporates on working capital efficiency, cash flow forecasting, liquidity optimization, and trade finance management.
• Perform portfolio assessments and credit process reviews to identify improvement opportunities and risk mitigation strategies.
• Partner with clients to enhance decision-making through credit analytics and data-driven risk monitoring tools.
• Serve as a trusted advisor to CXOs and senior stakeholders on risk and regulatory matters.
• Drive business development efforts — including proposal creation, thought leadership, and client presentations.
• Mentor and lead consulting teams, fostering a culture of collaboration, excellence, and innovation.
• Contribute to Uniqus’ go-to-market strategy, intellectual property development, and global delivery model.

Education:

• Master’s or PhD in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, or related field.
• Professional certifications such as CFA, FRM, PRM, or Actuarial credentials preferred.

• 6–15 years of relevant experience in consulting firms, financial institutions, or regulatory bodies.
• Proven expertise in market risk capital computation, credit risk frameworks, and regulatory reporting.
• Hands‑on experience in Basel, ICAAP, FRTB, Stress Testing, and ECL model development.
• Exposure to risk technology platforms such as Murex, Calypso, Bloomberg, SAS, or equivalent.

• Proficiency in Python, R, SAS, and SQL for data analysis and model development.
• Strong command over data management tools (Excel, Hadoop, Spark) and understanding of machine learning applications in risk analytics.