Lead Portfolio Analytics Architect

Jobgether; India; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Leadership role in analytics practice

Exposure to AI-driven automation and L

Professional development

Job summary

Jobgether, on behalf of a partner, seeks a Lead Portfolio Analytics Architect based in India (Pune). You will lead a team of data professionals delivering end-to-end validation for complex investment portfolios, using Databricks and Python to detect anomalies and automate remediation.

You will shape the analytics practice, drive AI-driven automation, and collaborate with global stakeholders across regions to ensure high‑quality client outcomes and scalable solutions.

Qualifications

• Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics or related discipline.
• Progress towards CFA or FRM certification is an advantage.
• Proficiency in Python, Spark, and SQL with ETL fundamentals and REST APIs knowledge.
• Experience with Databricks or other cloud-based distributed data platforms.

Responsibilities

• Lead, mentor, and manage a team of Portfolio Analytics Architects; set objectives and priorities.
• Oversee end-to-end data validation for complex portfolios; develop scalable analytics processes.
• Develop AI-driven automation and LLM integrations to support scalable implementations.
• Coordinate with regional/global stakeholders to ensure timely delivery and quality outcomes.
• Establish standards and QA to ensure reliable data solutions across projects.

Skills

Python

Spark

SQL

ETL

REST APIs

Data validation

Leadership

Project management

Communication

Databricks

Education

Bachelor's degree in Finance/Math/Statistics/Engineering/Economics

CFA or FRM progress

Tools

Databricks

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Portfolio Analytics Architect based in India.

As a Lead Portfolio Analytics Architect, you will lead a team of data professionals responsible for ensuring the accuracy, integrity, and quality of complex financial portfolio data. You will combine people leadership with hands‑on technical expertise to oversee end-to-end data validation projects and drive operational excellence. Working with investment datasets, analytics platforms, and cloud‑based technologies, you will develop scalable solutions that improve efficiency and automate workflows. You will also play a key role in shaping the team’s strategy, strengthening internal processes, and introducing AI‑driven innovations. Collaborating with global stakeholders across multiple regions, you will ensure consistent project delivery and high‑quality client outcomes. This is an opportunity to influence a growing analytics practice while developing talent and solving challenging data problems.

Accountabilities

• Team Leadership and Development: Lead, mentor, and manage a team of Portfolio Analytics Architects, balancing managerial responsibilities with hands‑on project delivery. Establish clear objectives, performance metrics, and priorities while ensuring consistent productivity and high‑quality outcomes.
• Performance Management: Conduct regular one‑to‑one meetings, performance reviews, and career development discussions. Support employee onboarding, identify development opportunities, delegate responsibilities, and foster a culture of accountability and continuous improvement.
• Recruitment and Resource Planning: Assess staffing requirements and collaborate with recruitment teams to attract, interview, select, and onboard qualified professionals.
• Data Analytics and Validation: Oversee end‑to‑end data validation projects involving complex investment portfolios, ensuring accuracy, consistency, and reliable results. Develop scalable data analytics processes using Databricks and create custom Python solutions to detect large‑scale data anomalies and automate remediation.
• Process Optimization and Automation: Identify opportunities to streamline workflows, improve internal tools, and increase operational efficiency. Introduce AI‑driven automation and Large Language Model (LLM) integrations to support scalable implementation processes.
• Strategic Leadership: Drive internal management initiatives and contribute to the development and execution of the Data Analytics practice strategy. Collaborate with regional leaders to improve team performance, operational consistency, and service delivery.
• Project and Stakeholder Management: Coordinate multiple projects simultaneously, manage priorities, monitor execution, and ensure deadlines are met. Communicate complex findings and project updates clearly while escalating risks and resolving delivery challenges.
• Best Practices and Quality Assurance: Establish and promote consistent methodologies, technical standards, and best practices to ensure reliable, high‑quality data solutions across projects and teams.

Requirements

• Education: Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics, or a related discipline. Progress towards CFA or FRM certification is an advantage.
• Professional Experience: At least 5 years of experience in technology, finance, consulting, fund accounting, or investment operations, with demonstrated experience managing teams, projects, and cross‑functional initiatives.
• Financial Data Expertise: Hands‑on experience working with complex investment datasets, including multi‑asset‑class portfolios, investment performance data, and market data from multiple sources.
• Technical Skills: Proficiency in Python, Spark, and/or SQL, with a solid understanding of ETL fundamentals and working knowledge of REST APIs.
• Data Platforms: Experience with Databricks or other cloud‑based distributed data platforms, ideally involving large‑scale data processing and analytics.
• Leadership and Management: Proven ability to lead, coach, motivate, and develop teams while establishing clear objectives, managing performance, and driving accountability.
• Analytical and Problem‑Solving Skills: Strong ability to investigate complex challenges, identify root causes, design practical solutions, and implement process improvements.
• Project Management: Excellent organizational and prioritization skills, with the ability to manage competing deadlines, coordinate multiple initiatives, and consistently deliver results.
• Communication and Collaboration: Strong written and verbal communication skills, including the ability to document technical findings, present team achievements, and collaborate effectively with international stakeholders.
• Personal Attributes: Proactive, adaptable, independent, and solution‑oriented, with a strong work ethic, positive attitude, and collaborative mindset.
• Global Collaboration: Flexibility to work hours that regularly overlap with teams based in the United States and the United Kingdom.
• Additional Advantages: Previous experience with investment management software implementations or Salesforce is a plus.

Benefits

The original job posting does not specify a detailed benefits or compensation package. However, the opportunity offers:

• A leadership position with the opportunity to shape and grow an expanding Data Analytics practice.
• The opportunity to work on complex financial data challenges and large‑scale technology initiatives.
• Exposure to innovative technologies, including AI‑driven automation, LLM integrations, Python, Spark, and Databricks.
• Opportunities for professional development, technical growth, and leadership advancement.
• Collaboration with international teams and exposure to global investment management projects.
• An inclusive and collaborative working environment that values ownership, innovation, continuous learning, and teamwork.
• Equal employment opportunities and reasonable accommodations throughout the recruitment and employment process.

Important employment information:

• Location: Pune, India.
• Visa sponsorship is not available. Candidates must be legally authorized to work in India from their first day of employment.
• Working hours: Flexibility is required to regularly overlap with US and UK teams. The application also specifies a UK shift of 2:30 PM-11:30 PM IST.
• Relocation to Pune may be required for candidates currently based elsewhere.