Senior Associate, Investor Relations Business Development

About the role

This position sits at the intersection of institutional sales and data-driven business development within a dynamic investment firm. The hire will own the end-to-end process of identifying, engaging, and converting new investor relationships into durable partnerships. You will leverage data analytics to uncover investor intent, tailor outreach sequences, and forecast pipeline outcomes with precision. Success in this role requires owning key relationship metrics, diagnosing bottlenecks in the sales funnel, and iterating on playbooks based on empirical results. You will act as a strategic partner to portfolio managers, translating investment theses into compelling narratives for target audiences. The role demands comfort with ambiguity and a bias for action, using data to test hypotheses and scale what works. You will own the narrative of the firm's value proposition in the institutional marketplace, ensuring consistency and clarity across all touchpoints.

Key facts

What you'll do

Business decisions receive support as data teams convert raw information into choices using familiar tools.

Investor engagement stays consistent because travel happens on at least 10-15% of occasions.

A Bachelors Degree meets the minimum educational standard for this position.

Institutional sales or relationship management experience of 3+ years, or a sales-focused operations role at an institutional asset management firm, is required.

Teams must see past performance that shows the ability to help senior colleagues grow relationships and close new business.

Core tasks rely on collaboration within diverse teams and operating familiarity with the Microsoft Office suite and CRM systems.

Travel is scheduled on at least 10-15% of occasions, and a Series 3 license must be pursued within the first three months of employment.

Completion of a Bachelors Degree is required as the minimum educational level.

You will analyze investor behavior using data sets to prioritize targets and optimize engagement strategies.

You will build and maintain a dynamic pipeline that tracks investor interest from first contact to commitment.

You will partner with investment teams to develop materials that align investment solutions with client needs.

You will own the metrics that define relationship health, identifying risks and opportunities before they escalate.

You will coordinate cross-functional reviews of investor feedback, ensuring insights are captured and acted upon systematically.

You will design experiments to test messaging, timing, and channels for maximum impact in investor outreach.

Requirements

Institutional sales or relationship management experience of 3+ years, or a sales-focused operations role at an institutional asset management firm, is required.

Teams must see past performance that shows the ability to help senior colleagues grow relationships and close new business.

Core tasks rely on collaboration within diverse teams and operating familiarity with the Microsoft Office suite and CRM systems.

Travel is scheduled on at least 10-15% of occasions, and a Series 3 license must be pursued within the first three months of employment.

Completion of a Bachelors Degree is required as the minimum educational level.

You must be able to synthesize complex information into clear, concise narratives for senior stakeholders.

You must demonstrate resilience in managing a pipeline that includes multiple stages of investor progression.

You must adhere to compliance standards and confidentiality protocols in all investor interactions.

You must manage competing priorities and deadlines without compromising the quality of deliverables.

Practical notes

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.