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, Risk & Forensic Operate 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.
We support clients by delivering Operate services spanning the Regulatory, Risk & Forensic portfolio. We embed continuous advantage through domain, industry, technology / Gen AI, and transformation skills to perform client business functions that manage risk and deliver value - added outcomes.
The team:
Deloitte 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 and maintain Financial Crime models, including AML Feeder models, Sanction Screening models through statistical analysis, and generate the necessary documentation
- Solve data analytical problems in risk management, identify new business insights and opportunities from data, and enhance risk management tools.
- 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, SQL.
- Explain difficult statistical modeling concepts to diverse, non-quantitative client contacts and to experts at various clients.
Qualifications
Must Have Skills/Project Experience/Certifications:
- 4-8 years of relevant experience in AML Model Development
- Familiarity with mathematics or statistical concepts like regression, classification, time series, hypothesis testing, distribution analysis, ATL/BTL testing, performance monitoring etc.
- Familiarity with prevalent AI/ML techniques including ANNs, Decision Trees and Ensemble techniques like XGBoost
- Familiarity with vendor-based transaction monitoring and sanction screening models.
- Experience in Anti-Financial Crime use cases involving Event Processor Next Generation, Quantifind and Customer Risk Assessment
- Experience in Financial Crime Case Generation Analytics
- Strong programming skills in R, Python, SAS, SQL etc.
- Proficient in deploying datasets for production environments and data calibration Experience in executive and technical report writing
- Understanding of AML and sanction screening regulatory environment
- Strong organizational and time management skills, with the ability to manage multiple priorities
- Ability to analyze complex issues and develop effective solutions
- Flexible to work on extended shifts overlapping with US/UK counterparts.
- Able to distribute and track work assignments, set goals/objectives and assess resource performance and administration of local team resources
- Technical skill set in advanced analytics
- Ability to coach and mentor junior team members
- Experience in stakeholder management, interacting with internal and external model reviewers, effective cross-team collaboration across different geographies and delivery partners.
Good to Have Skills/Project Experience/Certifications:
- Strong data science foundation
- Experience working with a Bank / Consultative environment
Education:
- Bachelor's/Master's /PhD degree.
Location:
- Chennai / Hyderabad
Shift Timings:
· Overlap with US/UK counterparts as per business requirements .