About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Why Choose KPMG India Dynamic Work Environment: Be a part of an innovative team that values creativity and fresh ideas. Growth Opportunities: We provide excellent training, mentorship, and career advancement. Attractive Benefits: Competitive salaries, health insurance, and more! KPMG is hiring individuals for projects with Multinational Investment Banks. >> ROLE & RESPONSIBILITIES Ensuring E2E delivery - requirement gathering, test execution plan, defining scope, identifying risks, dependencies and aligning stakeholder expectations throughout the lifecycle of the project Engage in Finance architecture roll out projects and define As-Is and To-Be mapping Involve in extensive analysis of the Client data and drive insights for the system implementation Job Description: Data Scientist with experience of regulatory reporting and Settlement experience Strong statistical and analytical skills: The candidate should have a solid foundation in statistics, data analysis, and machine learning techniques. They should be proficient in using these skills to analyse large datasets related to trade transactions and settlement processes. Programming expertise: Proficiency in programming languages commonly used in data science, such as Python, R, or SQL, is crucial. The candidate should be able to write efficient code for data manipulation, analysis, and model development. Domain knowledge in finance and trading: A good understanding of financial markets, trading processes, and settlement procedures would be highly valuable. This knowledge will help the data scientist contextualize their analyses and develop more relevant insights and solutions. Experience with data visualization and reporting: The ability to present complex data and findings in a clear, visually appealing manner is important. The candidate should be skilled in using data visualization tools and creating dashboards to communicate insights effectively to both technical and non-technical stakeholders. Experience in working on TTR across Global jurisdiction and exposure to DTCC and Kaizen analytics will be an added advantage. >> QUALIFICATION MBA or Masters / Doctorate Degree in fields such as Mathematics, Statistics, Econometrics, Finance or Operations Research People with CFA/ FRM degrees will be preferred Knowledge of risk management functions across different lines of business in banking industry >> SELECTION PROCESS Candidates should expect minimum 3 rounds of personal or telephonic interviews to assess fitment and communication skills >> COMPENSATION Compensation is competitive with industry standards Details of the compensation breakup will be shared with short-listed candidates only >> PEOPLE BENEFITS Continuous learning program Driving a culture of recognition through ENCORE our quarterly rewards and recognition program Comprehensive medical insurance coverage for staff and family Expansive general and accidental coverage for staff Executive Health checkup (Manager & above, and for staff above the age of 30) Les Concierge desks Internal & Global mobility Various other people friendly initiatives Strong commitment to our Values such as CSR initiatives The opportunity is now! If you are interested in being part of a dynamic team, serving clients and reaching your full potential KPMG Advisory Services is for you!,
Employement Category:
Employement Type: Full timeIndustry: BFSIRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Kpmg India- Data Scientist- Consultant &