Regulatory, Risk & Forensic
Our Regulatory, Risk & Forensic team supports client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform organizations. Leverage advanced data, AI, and emerging technologies with deep domain and industry insights to help bring clarity from complexity and accelerate the path to value creation.
Position Summary
Level: Senior Consultant or equivalent
As a Senior Consultant at Deloitte Consulting Services, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.
Work you’ll do:
Our Regulatory & Financial Risk professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries.
The regulatory landscape continues to increase in complexity across the globe. Our team leverages deep knowledge of industry-specific regulations with demonstrated methodologies to design, assess, and transform the processes, controls, and infrastructure needed to mitigate risk and achieve compliance.
We deliver advisory services to support regulatory and compliance initiatives through strategic, transformation, end- to- end implementation, and a focus on sustainable business- as- usual processes, controls, and data and analytics infrastructures.
The team:
Model Risk Management (MRM) is one of the services we offer to our clients where we help them manage their risks around model usage. The team is comprised of professionals with diverse backgrounds, including Masters in Statistics, Mathematics, Physics, Finance, Financial Engineering and PhDs in various quantitative fields, etc. Our team is focused on qualitative assessment and quantitative modeling in the areas of Market Risk, Credit Risk, Operational Risk, Liquidity Risk, Fraud Risk as per regulatory guidelines like CCAR/Stress Testing, BASEL II.5 / III in US and CRD IV/CRR in EMEA regulations. The team also does valuation of complex financial products such as derivatives and structured products. Our value proposition includes industry, financial accounting and business process knowledge, proven methodologies that include risk and control concepts, deep expertise in advanced quantitative, data extraction, data mining and analytical skills.
The key job responsibilities will be to:
Develop, or validate financial risk models using statistical software and write associated reports.
Apply conceptual and quantitative depth in modeling methodologies and concepts for risk models for banks as required by regulatory guidance.
Apply strong analytical and computer skills including experience with statistical and quantitative analysis technical tools such as: SAS, Python, R, MATLAB is a plus.
Explain difficult statistical modeling concepts to diverse, non-quantitative client contacts and to experts at various clients.
Understand various risk management concepts and quantitative modeling methods for estimation of PD, LGD, EAD, VaR, ES, Fraud Detection, Anti-Money Laundering, Sanctions Screening, etc.
Experience in leading teams/guiding team members.
Qualifications
Must Have Skills/Project Experience/Certifications:
4- 8 years of Experience with any programming languages or statistical tools such as: R, Python, SAS, C++ etc.
Familiarity with mathematics or statistical concepts like regression, time series, hypothesis testing, performance monitoring, etc.
Familiarity with prevalent AI/ML techniques including ANNs, Decision Trees and Ensemble techniques like XGBoost.
Experience in executive and technical report writing is a plus
Understanding of financial regulations, products or financial processes is a plus
Experience working with a Bank / Consultative environment is a plus
Experience in leading teams/guiding team members is a plus
Good to Have Skills/Project Experience/Certifications:
Certifications: SAS programming / CFA / FRM
Education:
Masters in Stats / Maths / Physics/ Economics / Quantitative Finance
MBA with Finance major
PhD in an advanced quantitative subject is a plus.
Location:
Bengaluru/Hyderabad/Pune/Chennai/Kolkata
Shift Timings:
Overlap with US/UK counterparts as per business requirements