Risk Advisory Analytics Senior Job at KPMG 3-year’s Exp।Apply Now

Risk Advisory Internal Audit Executive Job at KPMG

Job Role : Risk Advisory Analytics Senior

Salary : Rs 3.5 Lakhs to 22.0 Lakhs

Company : KPMG

Location : Noida, Uttar Pradesh

Qualifications : Bachelor’s degree

Experience : 3 or more years of working experience

ABOUT KPMG

 Risk Advisory Analytics Senior at KPMG

KPMG, or Klynveld Peat Marwick Goerdeler, is one of the international’s leading expert offerings corporations, imparting audit, tax, and advisory services. Founded in 1987 via a merger of Klynveld Main Goerdeler (KMG) and Peat Marwick International, KPMG operates in 147 international locations and territories with over 227,000 personnel.

The corporation is understood for its commitment to first-rate and professionalism, serving a extensive range of clients, which includes governments, agencies, and not-for-earnings corporations.KPMG’s offerings embody audit and guarantee, tax planning and compliance, advisory for commercial enterprise transformation and risk control, in addition to industry-specific consulting.

KPMG emphasizes integrity, moral conduct, and duty in its operations, aiming to build agree with with stakeholders and supply insights that help clients navigate complex demanding situations and possibilities. The company additionally invests heavily in technology and innovation to enhance provider delivery and meet evolving client desires in a hastily converting international enterprise environment.

Job Overview

A Risk Advisory Analytics Senior focuses on leveraging statistics analytics to assess and mitigate dangers within an enterprise. Responsibilities generally include growing hazard models, undertaking records-driven exams, and supplying strategic recommendations to enhance operational resilience. They collaborate intently with stakeholders to interpret findings, pick out developments, and implement powerful danger control strategies. Proficiency in statistical analysis, data visualization tools, and chance management frameworks is critical. Strong verbal exchange abilities are important for providing insights and influencing choice-making. This function requires a deep know-how of enterprise regulations and a proactive technique to figuring out rising dangers and possibilities for improvement.

Responsibilities of a Risk Advisory Analytics Senior:

  • As a Risk Advisory Analytics Senior, your number one responsibilities revolve round leveraging data analytics to evaluate and mitigate risks within the employer. You will be predicted to increase and implement hazard models that effectively identify and quantify various dangers confronted by way of the organisation. This includes studying huge datasets to find trends, anomalies, and potential areas of situation.
  • You will play a crucial position in conducting facts-driven assessments of risk across exceptional departments and commercial enterprise capabilities. This may also consist of evaluating operational tactics, monetary transactions, compliance issues, and cybersecurity threats. Your findings will tell strategic decision-making and help senior management prioritize assets to cope with key dangers.
  • Collaboration is prime in this role, as you’ll paintings closely with stakeholders across the agency. This consists of partnering with business leaders, chance control teams, IT professionals, and external auditors to make sure a comprehensive understanding of danger exposure and mitigation strategies.
  • Effective conversation is important as you may be accountable for imparting complicated analytical findings in a clear and actionable way to senior management and stakeholders. Your ability to articulate insights, suggestions, and capability implications of diagnosed risks might be crucial in influencing choice-making tactics.
  • Continuous development is a essential aspect of the position. You might be anticipated to live abreast of enterprise tendencies, regulatory modifications, and emerging dangers that would effect the agency. This involves proactively figuring out opportunities to decorate chance management practices and implementing fine practices as a consequence.

Skills of a Risk Advisory Analytics Senior:

Risk Advisory Analytics Senior Job at KPMG

 

  1. Statistical Analysis: Proficiency in statistical techniques and techniques for analyzing large datasets, inclusive of regression analysis, time series analysis, and predictive modeling.
  2. Data Visualization: Experience with data visualization equipment consisting of Tableau, Power BI, or Python libraries (matplotlib, seaborn) to create compelling visual representations of statistics insights.
  3. Risk Management Frameworks: Knowledge of hazard control frameworks (e.G., COSO, ISO 31000) and their software in figuring out, assessing, and mitigating dangers throughout diverse enterprise features.
  4. Programming Skills: Familiarity with programming languages which include Python, R, or SQL for statistics manipulation, statistical evaluation, and automation of facts approaches.
  5. Critical Thinking: Ability to investigate complicated problems, perceive key issues, and increase practical answers using analytical and quantitative tactics.
  6. Communication: Strong interpersonal and verbal exchange capabilities to effectively collaborate with move-purposeful teams, gift findings to non-technical stakeholders, and affect choice-making approaches.
  7. Industry Knowledge: Understanding of enterprise-precise regulations, compliance requirements, and excellent practices associated with danger control and information analytics.
  8. Problem-Solving: Proven capacity to identify and deal with potential dangers, vulnerabilities, and opportunities for improvement within the organization’s danger management framework.(Risk Advisory Analytics Senior) 
  9. Attention to Detail: Thoroughness and attention to element in analyzing information, conducting risk assessments, and documenting findings to make certain accuracy and reliability of insights.
  10. Adaptability: Flexibility to adapt to changing priorities, organizational wishes, and emerging risks whilst retaining a proactive technique to hazard identification and mitigation.

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