Ardian Logo

Ardian

Data Scientist Analyst - Secondaries & Primaries

Posted Yesterday
In-Office
San Francisco, CA, USA
Junior
In-Office
San Francisco, CA, USA
Junior
Apply data science and AI techniques to private equity investment activities, including portfolio analytics, machine learning models, market intelligence, deal screening, valuation support, risk assessment, and LP analytics. Collaborate with investment, data engineering, and international teams while developing data sources, financial models, dashboards, and AI-enabled workflows.
The summary above was generated by AI

The Role

This position offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science and artificial intelligence techniques to real-world financial problems, contributing directly to the team's success.

Joining the Secondaries & Primaries team at Ardian, the Data Scientist will leverage analytical skills to support investment strategies and decision-making processes. You will be part of an already established fast-growing data science team entirely dedicated to the Secondaries & Primaries activity.

This role involves working closely with the investment team, applying data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets. You will work on both established datasets and the structuring of new data sources, in close collaboration with our data engineering team.

Current projects include, but are not limited to:

  • Portfolio-level analytics: fund and company performance modeling, GP benchmarking through development of proprietary machine learning models

  • AI integration into day-to-day team workflows, including pricing and other deal-related aspects

  • Market intelligence: identifying trends in private equity markets

  • Deal execution: data-driven screening of opportunities, valuation support

  • Risk assessment: scenario modeling for fund investments

  • Support responses to LP analytics and data-driven requests

Core Technical Skills

  • Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)

  • Machine learning & AI (predictive modeling, generative AI, NLP) - Experience in developing AI tools and agentic workflows is advantageous

  • Statistical analysis & econometrics

  • Data visualization tools (e.g., Tableau, Power BI)

Business & Investment Skills

  • Knowledge of the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics

  • Financial modeling & valuation

  • Market analysis & competitive intelligence

  • Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)

  • Strong analytical and problem-solving skills

Soft Skills

  • Highly motivated with the ability to work autonomously and in a team environment.

  • Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.

  • Stakeholder management (investment teams, investors, other parties)

  • Strategic thinking & problem-solving

Communication Scope:

  • The candidate will be required to liaise directly with various internal team members and should be confident in requesting / providing information to all levels of management

  • The role will require significant interaction with other teams in Europe and from other Ardian offices / geographies

Profile

  • Degree in Computer Science, Statistics, Data Science or another related field

  • 1-3 years' experience. The role will initially focus on supporting senior team members, with increasing ownership over models and analyses as experience grows

  • Familiarity working with international teams and across cultures

Similar Jobs

An Hour Ago
In-Office
106K-232K Annually
Senior level
106K-232K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Designs, integrates, tests, debugs, and leads development of embedded flight software for satellite and payload systems. Responsibilities include software-hardware integration, requirements analysis, cyber vulnerability analysis, cyber monitoring algorithms, configuration automation, documentation, quality assurance, and delivery coordination. The role interfaces with multidisciplinary engineering teams and supports safety, security, and performance objectives for commercial and government space programs.
Top Skills: BitbucketCC++ConfluenceCyber Monitoring AlgorithmsDevOpsEmbedded SystemsGitlabJavaJIRAPythonReal-Time SoftwareWireshark
An Hour Ago
In-Office
177K-239K Annually
Expert/Leader
177K-239K Annually
Expert/Leader
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Leads electrophysics and radar engineering for air and space payloads across the product lifecycle. Responsibilities include radar performance and trade studies, signal and image processing, RWR integration, mission design, payload effectiveness analysis, technical leadership of teams and subcontractors, anomaly resolution, and capability roadmap development. The role requires advanced radar or signal-intelligence expertise, systems integration experience, and active Top Secret/SCI clearance.
Top Skills: Image ProcessingMatlabRadar SystemsRadar Warning Receivers (Rwr)Rf SystemsRfi MitigationSignal ProcessingStkSynthetic Aperture Radar (Sar)
An Hour Ago
In-Office
120K-198K Annually
Senior level
120K-198K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Design and validate ASIC and mixed-signal subsystem architectures for space-based digital communication systems. Responsibilities include requirements derivation, verification planning, ADC/DAC performance analysis, technical trade studies, supplier coordination, hardware and software integration, qualification, unit sell-off, and risk mitigation. The role supports the full subsystem lifecycle and requires collaboration across engineering, program management, suppliers, and customers.
Top Skills: AdcAsicCDacI2CJesdJtagMatlabPythonSerdesSpiVlsi

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account