Python Asset Management

Crescendo Global Leadership Hiring India; Pune District, Bengaluru, Delhi; Remote; INR 1,200,000 - 2,400,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking a Python/Data Analytics professional to join a financial services data team. You will handle Python-based data analytics, data quality, data governance and asset management datasets, delivering accurate and scalable data solutions.

Position involves working with large datasets and collaborating with global stakeholders in a PAN India context. This role emphasizes growth in data governance and analytics within a financial services environment.

Qualifications

• 3–7 years of relevant experience in Python-based data analytics, data management or financial analytics.
• Strong hands-on experience in Python, specifically Pandas and NumPy.
• Good proficiency in SQL and experience working with large datasets.
• Experience in Asset Management / Investment Management or Data Governance / Data Quality.
• Exposure to Investment Banking, Private Markets, Financial Services, Power BI, data controls, data lineage or data validation.

Responsibilities

• Develop and maintain data analytics solutions using Python, Pandas and NumPy for large datasets.
• Perform data extraction, transformation, analysis and validation using SQL and Python.
• Work with Asset Management / Investment Management / Financial Services datasets and processes.
• Build and implement data quality, data validation and data governance frameworks.
• Collaborate with business, analytics and technology stakeholders to improve data accuracy and reporting.

Skills

Python

Data analytics

Data governance

Data quality

Asset management

Tools

Pandas

NumPy

SQL

Job description

Python / Asset Management / Data Governance Analyst 3–7 Years

Summary –

We are looking for an experienced Python / Data Analytics professional to join the data analytics and financial services team of a leading global organization. The role will involve working on Python-based data analytics, data quality, data governance and asset management datasets, with a strong focus on delivering accurate and scalable data solutions.

Location –

PAN India

Your Future Employer –

A leading global organization offering an opportunity to work on complex financial data, analytics, asset management and data governance initiatives in a collaborative and technology-driven environment.

Responsibilities –

1. Develop and maintain data analytics solutions using Python, Pandas and NumPy for large and complex datasets.
2. Perform data extraction, transformation, analysis and validation using SQL and Python.
3. Work with Asset Management / Investment Management / Financial Services datasets and business processes.
4. Build and implement data quality, data validation and data governance frameworks to identify and resolve data issues.
5. Collaborate with business, analytics and technology stakeholders to improve data accuracy, reporting and operational efficiency.

Requirements –

1. 3–7 years of relevant experience in Python-based data analytics, data management or financial analytics.
2. Strong hands-on experience in Python, specifically Pandas and NumPy.
3. Good proficiency in SQL and experience working with large datasets.
4. Experience in either Asset Management / Investment Management or Data Governance / Data Quality is required.
5. Exposure to Investment Banking, Private Markets, Financial Services, Power BI, data controls, data lineage or data validation will be an added advantage.

What is in it for you –

• Opportunity to work on financial services and asset management data.
• Exposure to Python-based analytics, data governance and data quality initiatives.
• Opportunity to work with large and complex datasets and global stakeholders.
• Strong learning and career growth opportunities within a global organization.

Disclaimer –

Crescendo Global specializes in Senior to C-level niche recruitment. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.