Lead Portfolio Analytics Architect

Addepar1

Pune District

On-site

INR 3,500,000 - 6,500,000

Full time

11 days ago

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Benefits offered by this job

Health insurance
Performance bonuses

Job summary

Addepar seeks a Portfolio Analytics Lead to manage a team of Portfolio Analytics Architects, overseeing end-to-end data validation for conversion projects. You will ensure high-quality validation, build scalable tooling, and collaborate with regional teams to deliver client-ready data solutions.

The role requires strong leadership, financial data domain knowledge, and hands-on technical skills in Python/Spark/SQL, with experience in Databricks and cloud data platforms.

Qualifications

  • 5+ years experience leading teams in Technology, Finance, Consulting, or investment operations.
  • Experience with multi-asset portfolios and market data.
  • Strong programming with Python/SQL and Databricks familiarity.

Responsibilities

  • Lead a team of Portfolio Analytics Architects and work as a player/coach.
  • Set objectives, goals and metrics for productivity and quality.
  • Improve processes and tools to scale workflows.
  • Develop performance management and career development plans.
  • Provide regular feedback through 1:1s and reviews.
  • Plan staffing with recruiting and onboarding.
  • Mentor and coach staff and oversee new hires.
  • Develop scalable data analytics processes for validation in Databricks.
  • Write Python logic to detect data anomalies and automate remediation.
  • Identify AI-driven automation and LLM integrations to streamline implementation.
  • Lead internal management and strategic initiatives for Data Analytics.

Skills

Leadership
Python
SQL
Spark
Data validation
Communication
Problem solving

Education

Bachelor's degree in Finance
Mathematics/Statistics/Economics or Engineering
CFA/FRM progress

Tools

Databricks
REST APIs
Salesforce

Job description

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

The Role

A Portfolio Analytics Lead manages a team of Portfolio Analytics Architects, who lead the data validation process end-to-end for data conversion projects. As a Portfolio Analytics Lead, you will be responsible for ensuring your team delivers high-quality validation work on every project, in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, strong analytical and communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards. They take a hands-on approach to solving problems, build scalable and automated solutions, work collaboratively with project teams across regions and take ownership of the outcomes our clients depend on.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do
  • Lead a team of Portfolio Analytics Architects, in addition to performing projects as a "player/coach".
  • Ensure the team has proper objectives, goals, and metrics to drive success by meeting Addepar’s expectations for productivity, quality, and goal accomplishment.
  • Identify and drive opportunities to improve our current processes and tools to better streamline, scale, and automate workflows.
  • Develop employees using a performance management process that provides an overall context and framework to encourage employee contribution.
  • Provide effective performance feedback through consistent 1:1s, semi-annual performance reviews, and career development planning.
  • Plan staffing levels and work with recruiting staff to recruit, interview, select, and hire an appropriate number of employees.
  • Coach, mentor, and develop staff, including overseeing new employee onboarding.
  • Delegate responsibility and expect accountability and regular feedback from your team.
  • Develop scalable data analytics processes for validation in Databricks.
  • Write custom Python logic to detect large-scale data anomalies and automate remediation.
  • Identify and implement AI-driven automation and LLM integrations to streamline implementation.
  • Leadership and Execution: Lead internal management and strategic initiatives to grow the Data Analytics practice.
  • Amplify the mandate of the team and help execute on the team strategy.
  • Partner with leads across regions to optimize team and process efficiency.
  • Lead and mentor the team.
  • Drive prioritization, process, and execution consistency.
  • Hone ability to drive results and manage team performance.
  • Prioritize and context-switch effectively to ensure the completion of simultaneous projects.
  • Contribute to, drive, and collaborate on best practices to ensure consistent and quality delivery of Data Solutions.
Who You Are
  • Demonstrated leadership and managerial ability with proven success leading teams, projects and cross-functional initiatives.
  • Bachelor’s degree in Finance, Mathematics, Statistics, Engineering, Business, Economics or a related field; CFA or FRM progress is a plus.
  • 5+ years experience working in Technology, Finance, Consulting, fund accounting or investment operations.
  • Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources.
  • Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals.
  • Working knowledge of REST APIs.
  • Experience with Databricks and/or a cloud-based distributed data platform.
  • Solution-oriented approach and a passion for problem solving.
  • Proven ability to research, design and implement solutions for complex problems.
  • Positive attitude, strong work ethic, proactive and a high contributing team player.
  • Independent, adaptable and can thrive in a fast-paced environment.
  • Clear written and verbal communication skills, with the ability to document complex findings, represent the team’s work to stakeholders and work effectively with colleagues across time zones.
  • Able to work hours that regularly overlap with teams in the US and UK.
  • [Bonus] Previous experience in investment management software implementations.
  • [Bonus] Previous experience with Salesforce.
Our Values
  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive o

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