Risk Consulting - Digital Risk - Staff - ITGC

1 - 3 years

7 - 8 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

hive data management scala apache pig data architecture sql java hadoop quantitative analysis python data analytics sap oracle power bi tibco impala machine learning analysis data engineering sql server nosql tableau r mahout informatica

Work Mode

Work from Office

Job Type

Full Time

Job Description

Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk.
Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools
Design and implement comprehensive data analytics strategies to support business decision-making.
Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data.
Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI)
Developing custom scripts and algorithms to automate data processing and analysis to generate insights
Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges
Analyzing data to uncover trends and generate insights that can inform business decisions
Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management.
Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement
Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed
Work with emerging products to understand risk profile and ensure an appropriate control environment is established
Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization.

What Youll Need

Experience in data architecture, data management, data engineering, data science or data analytics
Experience in building analytical queries and dashboards using SQL, noSQL, Python etc.
Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
Knowledge of tools in the following areas
- Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
- Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.)
- Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.)
- Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
- Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.)
- Data Mining (e.g., Microsoft SQL Server, etc.)
- Cloud Platforms (e.g., AWS, Azure, or Google Cloud)
Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles
Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps)
Experience with homegrown applications in a microservices/dev-ops environment
Experience with identifying potential security risks in platform environments and developing strategies to mitigate them
Experience with SOX readiness assessments and control implementation
Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud)

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