This individual is a critical member of the Data Operations team and will act as a strategic partner to investment teams, client service professionals, risk & compliance, and fund administrators as well as partner with technology teams to build APIs and automation tools that streamline data ingestion and transformation. The Data Operations team play a critical role in the firm’s data strategy in alignment with investment, client, and operational goals.
What You’ll Do:
Data Strategy & Governance
- Champion data quality standards and drive adoption of best practices across teams for data integrity, consistency, accuracy, and security across the organization.
- Ensure scalable and resilient data infrastructure to support reporting, analytics, and regulatory requirements.
Data Integration & Automation
- Lead efforts to centralize and automate the aggregation of data from fund administrators, custodians, and other third-party sources.
- Support the development of client reporting, investment dashboards, and operational analytics with accurate and timely data.
Data Quality and Reconciliation
- Review Portfolio Management System for accuracy and completeness with respect to valuations, commitments, capital calls, distributions, etc. Resolve any reconciliation discrepancies in a timely manner.
- Review capital calls and distributions across our various vehicles. Ensure accurate and timely notification, reconciliation of incoming funds, and delivery of funds to the relevant third party/parties.
Ideal Candidate Background:
- 6+ years of Accounting or Operations experience within Hedge Fund, Private Equity/Venture Capital firm or Fund Administrator.
- Required experience with Addepar or other Portfolio Management Accounting System.
- Familiarity with AI tools and technologies is a plus. We value team members who are curious about leveraging AI to enhance productivity, streamline workflows, and drive innovation.
- Solid understanding of private fund subscription and redemption processes.
- Knowledge of Net Asset Value, Unfunded Commitments, IRR and TWR calculations.
- Strong Excel knowledge (construction of pivot tables, and use of VLOOKUPs, SUMIFs and similar formulas).
- Experience using SQL, Snowflake or an equivalent data warehouse.
What We Offer:
- Comprehensive Medical, Dental and Vision Insurance.
- Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up childcare.
- A matching 401(k) program.
- Commuter Benefits program.
- Stipends to support wellness and hybrid working arrangements.
- We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework.
- Smart-casual dress code.
Location: Applicants are expected to work onsite in our New York 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. 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 $130,000 - $150,000 together with the benefits listed above.
About ICONIQ
ICONIQ is a global investment firm elevated by an extraordinary community. With over $100B 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.
Similar Jobs
.jpeg)
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
