Data Scientist - NLP/Machine Learning (7-12 yrs)

Role : Data Science for Noida Location.

Experience : 7-12 Yrs

Job Location : Noida

Job Description :

- Graduate in any discipline.

- Experience in Controls, Governance, Reporting and Risk Management preferably in a financial services organization.

- Excellent skills in data analysis using structured and unstructured data, generating key Insights and automation using SQL, Python, ETL Tools (e.g. Alteryx).

- Good hands-on experience on data science and analytics tools and techniques like NLP and ML.

- Good Hands-on experience in Automation using Power Apps,Power Query, Power Automate, Alteryx and Python creating automated workflows and low-code/no-code application development.

- Good knowledge of MS Office, Visual Studio, SharePoint and Data Management.

- Must have knowledge of PowerBI & SQL, R or similar, Language Processing.

- Comprehensive understanding of Risk, Governance and Control Frameworks and Processes.

- Understanding of Data Management Priniciples and Data Governance including BCBS 239

- Ability to analyse, interpret and work robustly with others to identify issues and develop proposed solutions.

- A clear understanding of the elements of an effective control environment, enterprise risk management framework, operational risk or other principal risk frameworks.

- Experience in managing or providing inputs for risk/ control committees.

- Extensive experience of managing stakeholders directly & indirectly and across geographies & cultures, including presenting to senior leaders, supporting and providing robust challenge where appropriate.

- Experience in a risk and control capacity of a major banking/financial services organisation.

- Understanding of and experience of working with MI & Reporting preferably within Operational Risk space.

- Strong understanding and practical exposure to application of BCBS 239 principles and related frameworks.

- Commercially astute, demonstrates a consultative, yet pragmatic approach with integrity to solving issues, focusing on areas of significance and value to the business.

- A strong understanding of Risk and Control environment/control framworks/op risk, including understanding of second and third line functions and impact across people, process and technology.