Associate, Risk Analytics

13 hours ago

Bengaluru, Karnataka, India Grant Thornton Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role Description

The Risk Analytics Advisory is responsible for delivering all phases of analytics project and engagement management for multiple clients in a wide variety of industries. The Risk Analytic team works with internal audit and compliance teams to develop innovative approaches and data analytics solutions. The Risk Analytics Senior Associate will support Risk Analytics team on strategic and tactical data and analytic efforts. This position involves quantitative analysis of structured, semi-structured, and unstructured data using various programming techniques. The responsibilities would range from initial data scoping and ETL in the audit-planning phase through developing analytical to support strategic efforts and audit fieldwork. The type of analysis varies by project, but common types of analysis are fraud detection, historical modelling, outlier analysis, and data visualizations. The Risk Analytics Senior Associate works closely with manager and plays a key role in client management and practice development.

A successful candidate will be flexible and capable of working on a wide variety of problems. They will also be hungry to expand their technical knowledge to expand their toolbox of skills to tackle complex and interdisciplinary technical problems.

Skills

Skills Required:

  • Programming language experience SQL, R, or Python
  • Data cleaning and transformation - Power Query
  • Data visualization experience Power BI and/or Tableau
  • Internal audit knowledge good understanding of audit concepts and processes

Skills Preferred:

  • MS Power platform Power Automate and/or canvas Apps
  • ELT - Alteryx

Primary Responsibilities

  • Develop work plans identifying relevant data sets, querying and analysing data, interacting with audit clients, and implementing analytics modules using advanced analytics techniques.
  • Work independently and with a team to solve problems involving complex and large data sets.
  • Comfort requesting data, validating data, and manipulating large data sets to identify trends to inform audit and strategic business decisions.
  • Write SQL and Python applications and scripts.
  • Create, manage, and utilize high-performance relational databases (e.g., MS SQL Server).
  • Create and explain complex analytic findings and techniques using both written and verbal reports.
  • Design analytics in alignment with an audit plan and related data; and
  • Drive analytic activities that involve the identification of key indicators and outliers from an audit and compliance perspective.

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