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The Associate, Data Operations role at ICONIQ Capital will help execute and scale the firm’s data strategy in support of investment, client, and operational objectives. This individual will play a critical role in ensuring the accuracy, integrity, and resilience of data across systems by partnering closely with fund administrators and internal stakeholders to maintain and enhance the Portfolio Management System. The role also leads efforts to centralize and automate data aggregation, working cross-functionally to improve reporting, analytics, and workflow efficiency. In addition, the Associate will support risk management and regulatory compliance through strong reconciliation processes, data governance, and operational controls, helping to uphold the firm’s high standards for precision and accountability.
What You’ll Do
- Execute the firm’s data strategy to support investment, client, and operational objectives
- Champion data quality standards and best practices to ensure integrity, accuracy, consistency, and security
- Partner with fund administrators to maintain real-time, accurate data within the Portfolio Management System
- Lead efforts to centralize and automate data aggregation from administrators, custodians, and third-party providers
- Collaborate with technology teams to build automation tools and application interfaces that streamline data ingestion and transformation
- Support the development of client reporting, investment dashboards, and operational analytics
- Maintain reconciliation, data lineage, and change management controls to mitigate operational risk
- Review valuations, commitments, capital calls, and distributions to ensure accuracy and resolve discrepancies in a timely manner
Ideal Candidate Background
- 3+ years of accounting or operations experience within a hedge fund, private equity or venture capital firm, or fund administrator
- Experience using Addepar or a similar portfolio management accounting system
- Strong understanding of private fund subscription and redemption processes
- Knowledge of net asset value, unfunded commitments, internal rate of return, and time-weighted return calculations
- Advanced Excel skills, including pivot tables and complex formulas
- Experience using Structured Query Language, Snowflake, or a similar data warehouse
- Bachelor’s degree with a strong academic background
- Familiarity with artificial intelligence tools and technologies is a plus. We value team members who are curious about leveraging artificial intelligence to enhance productivity, streamline workflows, and drive innovation.
What We Offer
- Comprehensive medical, dental, and vision insurance
- Life and disability insurance coverage, plus family and wellness benefits including mental health support, fertility benefits, and back-up childcare
- Matching 401(k) program
- Commuter benefits program
- Stipends to support wellness and hybrid working arrangements
- Tuition reimbursement and support for professional certifications
- Smart-casual dress code
Location: Applicants are expected to work onsite in our New York City office in accordance with our hybrid working policy.
Compensation Range: ICONIQ is required by law to include a reasonable estimate of the salary range for this role, together with other compensation being offered such as a discretionary bonus, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $100,000 - $115,000 together with the benefits listed above.
About ICONIQ
ICONIQ is a global investment firm elevated by an extraordinary community. With over $80B assets under management, we seek to build resilient investment portfolios, partner with inspired entrepreneurs transforming industries, manage our clients’ lives and legacies, and create uncommon opportunities across sectors and society.
When you submit a job application as a prospective employee (“your” or “your”) of ICONIQ Capital LLC (“ICONIQ,” “we,” “us,” or “our”), we or our service providers may collect, use, disclose and otherwise process personal information about you. Personal information collected by the Greenhouse portal is subject to the Greenhouse's privacy policy, available here [https://www.greenhouse.com/privacy-policy] and ICONIQ’s Privacy Policies available here [https://www.iconiqcapital.com/privacy-policies].
Use of AI in the Application Process
We expect candidates to be fluent in using AI tools to enhance their work. You’re welcome to use AI in preparing your application where it adds value, but your materials must be accurate and reflect your own experience, judgement and voice.
We care most about how you think, what you’ve personally contributed, and how you use tools like AI to drive better outcomes. Strong candidates demonstrate both authenticity and leverage, using AI to elevate their work while maintaining clear ownership.
Throughout the interview process, you should be prepared to speak in depth about your experience and contributions in your own words.
Equal Employment Opportunity Statement:
We recognize that our people are our greatest strength, and the diverse skills and perspectives they contribute are integral to our success as a global organization. As an equal opportunity employer, we are deeply committed to fostering diversity and inclusion across our company. We do not tolerate discrimination based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. Additionally, we provide reasonable accommodations to support applicants and employees with religious practices, mental health needs, physical disabilities, or other conditions requiring support.
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