What makes Convergence's approach to talent identification different from conventional executive search tools?

• Regulatory filing data, not self-reported profiles: Convergence C-suite data is drawn from ADV filings submitted to the SEC, making it a regulatory record of named individuals in specific roles rather than a self-reported profile that may be incomplete, outdated, or strategically curated.
• Daily updates ensure currency: Convergence updates its C-suite database daily from ADV filings, meaning personnel changes at SEC-registered investment advisers are captured as they are filed rather than discovered weeks or months later through manual research or profile updates.
• Complexity-matched search criteria: Rather than keyword matching against resume databases, Convergence search criteria are calibrated to the operating complexity of alternative asset management, covering fund type experience, fund structure experience, asset class experience, and service provider experience alongside standard criteria like geography and tenure.
• Weighted scoring produces ranked intelligence, not a contact list: The weighted candidate scoring system allows users to define which criteria matter most for the specific role and client, producing a ranked analysis of the most qualified candidates rather than an unranked list that requires manual prioritization.
• Coverage across the full population of SEC-registered advisers: Convergence covers the full population of SEC-registered investment advisers, not just the largest or most well-known firms, giving search firms access to C-suite talent across the full alternative asset management universe including mid-market and emerging managers.

What specific search criteria does Convergence Talent ID Analytics support?

• Fund size: Users can filter candidates by the AUM range of the firms they have operated in, ensuring candidates have experience managing compliance, operations, finance, or technology at a scale comparable to the hiring firm.
• Fund type and fund structure experience: Candidates can be filtered by their experience with specific fund types and structures, ensuring alignment between the candidate's operational background and the specific demands of the hiring firm's business model.
• Asset class experience: Users can filter by asset class, identifying candidates whose investment experience aligns with the hiring firm's specific strategy mix across hedge funds, private equity, private credit, real assets, and other alternative asset categories.
• Service provider experience: Users can filter by the types of service providers candidates have worked with, including fund administrators, auditors, and prime brokers, identifying candidates whose operational background includes experience with the specific service provider relationships the hiring firm manages.
• Geography, tenure, and contact data: Standard search criteria including geographical location, years in current position, and direct contact information complement the complexity-matched criteria to produce a complete candidate profile.

Why is ADV-based C-suite data particularly valuable for alternative asset management recruiting?

• ADV filings are legally accountable records: Named individuals in ADV filings are identified in a public regulatory disclosure filed under legal obligation, making the data more reliable than self-reported profiles where the incentive to present favorably is present.
• The filing population covers the full alternative asset management universe: Every SEC-registered investment adviser files an ADV, giving Convergence coverage of the full C-suite population across the alternative asset management industry rather than a subset determined by who has chosen to create a professional profile.
• Daily updates capture personnel changes as they are filed: When a C-suite executive changes roles at an SEC-registered adviser, that change appears in the ADV filing and is captured in the Convergence database as the filing comes in, providing currency that conventional databases updated on slower cycles cannot match.
• The data connects to the full Convergence intelligence infrastructure: Because C-suite data is drawn from the same regulatory filings that power Convergence's broader platform, a named individual can be viewed in the context of their firm's full operating profile, complexity score, fund structure, service provider relationships, and compliance quality, giving search firms intelligence that goes well beyond a name and contact number.
• Independence from the candidate: Because the data comes from regulatory filings rather than candidate-supplied information, it is structurally independent of what the candidate chooses to disclose, providing an objective baseline that the search firm controls rather than one the candidate shapes.

How does the weighted scoring system work and why does it matter?

• The user defines what matters most: The weighted scoring system allows the user to assign relative importance to each search criterion based on the specific requirements of the role and the client. A search for a COO with fund administration experience at a mid-market hedge fund weights those criteria accordingly and ranks candidates by their alignment with that specific profile.
• Weighting produces ranked intelligence rather than an unranked contact list: The difference between a contact list and a ranked candidate analysis is the difference between a data product and an intelligence product. Weighting converts raw search results into a prioritized shortlist that tells the search firm where to focus their effort first.
• The system accommodates different role profiles: A CFO search at a $500 million private equity firm has a different weighting profile than a COO search at a $100 million hedge fund. The system accommodates those differences rather than applying a uniform ranking to all searches.
• Weighted scoring connects to Convergence's broader intelligence philosophy: The same principle that drives weighted candidate scoring, converting a set of inputs into a ranked, prioritized output that tells the user what to do next, is the principle that drives every Convergence product across the platform.
• The output is a shortlist, not a database dump: The end product of the weighted scoring process is a focused, ranked shortlist of the most qualified candidates for the specific role, calibrated to the criteria the user has defined, rather than an exhaustive list that requires the search firm to do the prioritization work manually.

Who benefits most from Convergence Talent ID Analytics and how do they use it?

• Executive search firms specializing in alternative asset management: Search firms working in the alternatives space need C-suite candidates with specific fund type, structure, and service provider experience that conventional recruiting databases do not capture in sufficient depth. Convergence provides the complexity-matched search infrastructure that alternative asset management recruiting requires.
• HR executives and talent acquisition leaders at alternative asset managers: Internal HR teams at investment advisers use Talent ID Analytics to identify candidates for C-suite and senior operational roles, accessing the same regulatory filing data that external search firms use to source candidates.
• Investment bankers evaluating management team quality: Investment bankers assessing the management teams of acquisition targets or portfolio companies can use the same C-suite data to evaluate the depth and quality of executive talent at a target firm relative to peer firms at comparable size and complexity.
• Investors conducting operational due diligence: Allocators and fund-of-funds managers assessing the operational quality of a manager's team can use C-suite data to evaluate the experience and background of key personnel as part of a comprehensive operational due diligence process.
• Firms planning for succession or organizational development: Investment advisers anticipating senior leadership transitions can use Talent ID Analytics to understand the pool of available C-suite talent in their specific market segment, informing succession planning before a vacancy creates urgency.

How does Convergence Talent ID Analytics connect to the broader Convergence platform?

• C-suite data draws from the same regulatory filing infrastructure: The ADV-based C-suite data that powers Talent ID Analytics is sourced from the same daily regulatory filing ingestion that powers Convergence's full intelligence platform, ensuring consistency and currency across all platform outputs.
• The same individual can be viewed in full operating context: Because the C-suite data connects to the full Convergence database, a named executive can be viewed alongside their firm's complexity score, fund structure, service provider relationships, compliance quality score, and risk profile, giving users intelligence that goes well beyond contact information.
• Talent ID Analytics connects to the Human Capital Risk product: Convergence's Human Capital Risk product monitors key employee turnover, functional conflicts, and entity and individual red flags across the full adviser population, providing a risk dimension to the talent intelligence that Talent ID Analytics surfaces for recruiting purposes.
• The platform connection creates a workflow from identification to engagement: A search firm that identifies a candidate through Talent ID Analytics can research that candidate's current firm through the broader Convergence platform, understanding the firm's operating complexity, growth trajectory, and risk profile before the first outreach call.
• Talent intelligence connects to the Revenue Growth pillar: For investment bankers and investors, talent identification is a revenue intelligence function. Understanding who runs what, where, and with what experience is a commercial signal as much as a recruiting one, informing acquisition targeting, relationship development, and market positioning.