Job Description
Job Title:
Software Engineer - Data Analytics
EXPERIENCE:
7+ Years
LOCATION:
Bangalore/Chennai
NOTICE PERIOD: 30 Days
Strategy
Delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tool of the bank.
Business
Accelerate delivery of AI uses cases for various Business & Functions of the bank with focus on,
Responsibilities
1) Design and Optimize AI Prompts:
Develop, test, and refine AI prompts to ensure optimal performance and alignment with business goals.
2) Data Analysis and Interpretation:
Analyze large datasets to uncover trends, patterns, and insights that support strategic decision-making.
3) Collaborate with Cross-Functional Teams:
Work closely with data scientists, software engineers, and business stakeholders to integrate AI solutions into banking operations.
4) Continuous Improvement:
Stay updated with the latest advancements in AI and data analytics to continuously improve the quality and efficiency of AI models and data analysis processes.
5) Documentation and Training:
Document processes, methodologies, and findings, and provide training to team members on best practices in prompt engineering and data analysis.
Accountabilities
1) Quality and Performance:
Accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank’s standards and objectives.
2) Compliance:
Responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements.
3) Stakeholder Satisfaction:
Accountable for delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the bank's strategic goals.
Key stakeholders
• CDO Squads, Business Partners, ITO, internal staff, clients and 3rd parties.
Other Responsibilities
• Embed Here for good and Group’s brand and values in AI squad deployed to various Business and Functions;
Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
1) Identify and prioritize AI use cases that have the potential to deliver significant business value.
2) Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation.
Skills:
1) Software development experience using .Net framework or Java
2) Completed real world ML, NLP and DO projects using R or Python
3) Extensive experience in SQL and No
SQL database design, queries and stored procedures
4) Hands-on experience with Windows Server, Azure, AWS and Git
5) Highly proficient in data visualisation tools...
6) Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc.
7) Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc.
8) Process/Data Modelling - 'As Is'/'To Be'/ Visio/Enterprise Architect/System Architect, Etc.
+) Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python)
10) Good experience with Business Intelligence tools and Decision Support Systems
11) Strong data analysis skills using Hive, Spark, R, Python, Dremio, Micro Strategy and Tableau.
12) Proven experience in working with key stakeholders within the business
13) Proven problem-solving skills
14) Workshop Facilitation
Software Engineer - Data Analytics
EXPERIENCE:
7+ Years
LOCATION:
Bangalore/Chennai
NOTICE PERIOD: 30 Days
Strategy
Delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tool of the bank.
Business
Accelerate delivery of AI uses cases for various Business & Functions of the bank with focus on,
Responsibilities
1) Design and Optimize AI Prompts:
Develop, test, and refine AI prompts to ensure optimal performance and alignment with business goals.
2) Data Analysis and Interpretation:
Analyze large datasets to uncover trends, patterns, and insights that support strategic decision-making.
3) Collaborate with Cross-Functional Teams:
Work closely with data scientists, software engineers, and business stakeholders to integrate AI solutions into banking operations.
4) Continuous Improvement:
Stay updated with the latest advancements in AI and data analytics to continuously improve the quality and efficiency of AI models and data analysis processes.
5) Documentation and Training:
Document processes, methodologies, and findings, and provide training to team members on best practices in prompt engineering and data analysis.
Accountabilities
1) Quality and Performance:
Accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank’s standards and objectives.
2) Compliance:
Responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements.
3) Stakeholder Satisfaction:
Accountable for delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the bank's strategic goals.
Key stakeholders
• CDO Squads, Business Partners, ITO, internal staff, clients and 3rd parties.
Other Responsibilities
• Embed Here for good and Group’s brand and values in AI squad deployed to various Business and Functions;
Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
1) Identify and prioritize AI use cases that have the potential to deliver significant business value.
2) Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation.
Skills:
1) Software development experience using .Net framework or Java
2) Completed real world ML, NLP and DO projects using R or Python
3) Extensive experience in SQL and No
SQL database design, queries and stored procedures
4) Hands-on experience with Windows Server, Azure, AWS and Git
5) Highly proficient in data visualisation tools...
6) Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc.
7) Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc.
8) Process/Data Modelling - 'As Is'/'To Be'/ Visio/Enterprise Architect/System Architect, Etc.
+) Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python)
10) Good experience with Business Intelligence tools and Decision Support Systems
11) Strong data analysis skills using Hive, Spark, R, Python, Dremio, Micro Strategy and Tableau.
12) Proven experience in working with key stakeholders within the business
13) Proven problem-solving skills
14) Workshop Facilitation
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer- Data Analytics position is now open for candidates interested in the Software Developer Jobs sector. This role in Kolkata offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.