Require a Manager Data and Analytics in Bangalore

TestHiring

Job Location:

Bengaluru - India

Monthly Salary: K 10 - 10

Experience Required: 2-5years

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Lead the end-to-end development and management of data analytics platforms and reporting systems within the financial services environment.
Design and implement scalable data models ETL pipelines and dashboards to support real-time decision-making across business units.
Spearhead advanced analytics projects including predictive modeling customer segmentation credit risk analysis and fraud detection.
Collaborate with cross-functional teams (Finance Risk Compliance IT Product) to identify business needs and deliver data solutions that drive performance.
Establish and enforce data governance frameworks ensuring data quality consistency and regulatory compliance (e.g. RBI guidelines GDPR KYC).
Mentor and manage a team of data analysts and junior data scientists fostering a culture of innovation continuous learning and high performance.
Present key insights and strategic recommendations to senior leadership through executive-level reports and data storytelling.
Stay ahead of emerging trends in financial analytics AI/ML applications and big data technologies to maintain a competitive edge.
Ensure data security and privacy protocols are integrated into all analytics workflows and systems.

Requirements

Bachelors or Masters degree in Statistics Mathematics Computer Science Economics Finance or a related quantitative field.
25 years of progressive experience in data analytics business intelligence or data science within the financial services industry.
Proven experience managing data teams and leading analytics projects from conception to delivery.
Expertise in SQL Python/R and data visualization tools (e.g. Tableau Power BI Looker).
Strong understanding of financial products risk assessment models regulatory reporting and compliance frameworks.
Experience with cloud platforms (AWS Azure GCP) and big data technologies (e.g. Spark Hadoop) is highly desirable.
Familiarity with machine learning techniques and their application in fraud detection credit scoring and customer behavior prediction.
Excellent communication leadership and stakeholder management skills with the ability to translate technical concepts for non-technical audiences.
Ability to thrive in a fast-paced evolving environment with a focus on innovation and operational excellence.

Required Skills:

Qualification: MBA/PGDM from reputed B-school. Experience: 20 years in corporate sales institutional leasing or real estate investment. Requirements: Proven success in closing large deals and strong industry networks. Remuneration will be commensurate with qualifications and experience.

Required Education:

MBA/ PGDM

Lead the end-to-end development and management of data analytics platforms and reporting systems within the financial services environment.Design and implement scalable data models ETL pipelines and dashboards to support real-time decision-making across business units.Spearhead advanced analytics pr...

Lead the end-to-end development and management of data analytics platforms and reporting systems within the financial services environment.
Design and implement scalable data models ETL pipelines and dashboards to support real-time decision-making across business units.
Spearhead advanced analytics projects including predictive modeling customer segmentation credit risk analysis and fraud detection.
Collaborate with cross-functional teams (Finance Risk Compliance IT Product) to identify business needs and deliver data solutions that drive performance.
Establish and enforce data governance frameworks ensuring data quality consistency and regulatory compliance (e.g. RBI guidelines GDPR KYC).
Mentor and manage a team of data analysts and junior data scientists fostering a culture of innovation continuous learning and high performance.
Present key insights and strategic recommendations to senior leadership through executive-level reports and data storytelling.
Stay ahead of emerging trends in financial analytics AI/ML applications and big data technologies to maintain a competitive edge.
Ensure data security and privacy protocols are integrated into all analytics workflows and systems.

Requirements

Bachelors or Masters degree in Statistics Mathematics Computer Science Economics Finance or a related quantitative field.
25 years of progressive experience in data analytics business intelligence or data science within the financial services industry.
Proven experience managing data teams and leading analytics projects from conception to delivery.
Expertise in SQL Python/R and data visualization tools (e.g. Tableau Power BI Looker).
Strong understanding of financial products risk assessment models regulatory reporting and compliance frameworks.
Experience with cloud platforms (AWS Azure GCP) and big data technologies (e.g. Spark Hadoop) is highly desirable.
Familiarity with machine learning techniques and their application in fraud detection credit scoring and customer behavior prediction.
Excellent communication leadership and stakeholder management skills with the ability to translate technical concepts for non-technical audiences.
Ability to thrive in a fast-paced evolving environment with a focus on innovation and operational excellence.

Required Skills:

Required Education:

MBA/ PGDM