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Assistant Director - Insights and Analytics

Hyderabad, Telangana, India
Data Scientist Insights Analyst Data Analyst Machine Learning Engineer Data Engineering Manager Risk Analyst Data Engineer Data Architect Data Leader BI Developer
Actively hiring

Assistant Director - Insights and Analytics

Be part of something bigger
Hyderabad, Telangana, India
Data Scientist Insights Analyst Data Analyst Machine Learning Engineer Data Engineering Manager Risk Analyst Data Engineer Data Architect Data Leader BI Developer
Be part of something bigger
Actively hiring

hackajob is partnering with Be part of something bigger to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Assistant Director - Insights and Analytics

In this role, you will:

  • Extract, transform, and load (ETL) from various sources, ensuring data quality, accuracy, and integrity. Design and optimize data pipelines, ensuring efficient data extraction, storage, and processing.
  • Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance advanced analytics capabilities.
  • Understand business requirements, identify root cause of the issue and provide sustainable resolution. Acquire knowledge in banking/financial products and services, revenues drivers and financial risk parameters
  • Strong understanding of the data source, risk-related performance measures, in particularly with RoRWA methodology. Identify opportunities for process improvement, automations and drive changes independently
  • Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns for identifying risk and opportunities.
  • Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback.
  • Lead a functional team of SMEs/ Technical Specialist to provide supervisory cover and functional support as deemed necessary. This may or may not include Line Management responsibilities that would entail continuous performance and developmental feedback for the employees. Provide necessary support, review and back up cover plans for the function.

To be successful you will:

  • Good to have knowledge of Banking domain use cases with specific applications to data science problems.
  • 6+ years of relevant experience, preferably in banking and financial sector.
  • University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, Masters degree is preferred.
  • Proficiency in using Python, SQL, or similar analytically oriented programming languages. Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc.
  • Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation.
  • High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery. Open minded and self-motivated with good communication and interpersonal skills as well as strong sense of responsibility.
  • Knowledge and good experience with data visualization tools such as Qlik Sense will be a strong plus. In depth knowledge and experience with machine learning techniques and algorithms will be a strong plus.

You’ll achieve more when you join HSBC.

www.hsbc.com/careers 

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Electronic Data Processing (India) Private LTD***

hackajob is partnering with Be part of something bigger to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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