Risk and Compliance - Research Analyst

Job Title: Risk and Compliance - Research Analyst

Starting Salary: $85,000–$95,000 base salary (based on qualifications)

Bonus and Equity Awards– Based on Performance

Benefits – Health Insurance, 401k Plan, Flexible Work Environment, Education Reimbursement for attaining (CFA 1-3)
Industry: Asset Management / Financial Services
Company: Convergence, Inc.

About Convergence

Convergence is a leading Data-as-a-Service (DaaS) provider delivering “highly curated data and insights” that support mission-critical decisions made by companies in the global asset management industry. Our platform helps clients increase revenue, improve profits, streamline operations, and identify and manage business and compliance risk. We are expanding and seeking a candidate who wants to create and share in the economic and enterprise value they create.

We operate in a data-intensive environment in an industry that is fluid and fast-moving, where innovation initiative, and technical expertise are highly valued.

Role Overview

The Risk Analyst I (Non-Investment Risk) is a specialized role designed for professionals with experience in the asset management industry who understand how business, operational, and regulatory risks impact investment advisers, allocators, and service providers.

You will support Convergence’s growing suite of risk products and analytics by analyzing regulatory events, monitoring adviser risk conditions, studying business practices, and contributing to predictive analytics designed to detect risk before it materializes.

This is an ideal role for someone who thinks independently, can take a project from concept to execution, and is motivated by building first-of-its-kind risk intelligence capabilities for the industry.

The Risk Research Analyst I plays a pivotal role in building, refining, and expanding the data products and insights that power Convergence’s risk and compliance solutions. You’ll engage directly with data pipelines, industry research, product development, and cross-functional projects that support client delivery, sales, technology, and M&A initiatives.

This is not a narrow or repetitive role. We are looking for someone who thrives in dynamic environments, enjoys autonomy, and approaches challenges with creativity and persistence. Ideal candidates are self-starters who can take a project from concept to execution with minimal oversight.

Key Responsibilities

Full-Lifecycle Project Ownership:

• Take responsibility for projects from initial scoping and data acquisition through analysis, interpretation, delivery, and documentation.

Data Engineering & Analytics:

• Collect, clean, and transform financial and operational data using SQL, Python, Java, or related tools.
• Build queries, pipelines, and repeatable workflows that improve data quality and operational efficiency.
• Use advanced Excel functions for deep-dive analytics and reporting.

Autonomous Problem Solving:

• Identify issues, inefficiencies, or gaps in data or processes, and propose solutions proactively.
• Develop creative, resourceful approaches to dataset challenges, research tasks, and client questions.

Industry & Market Research:

• Conduct research across the asset management ecosystem and synthesize insights that guide product development and client decision-making.
• Support M&A research and due diligence activities.

Insight Generation & Storytelling:

• Interpret complex datasets and communicate insights clearly, including recommendations and potential client actions.
• Produce high-quality reports, dashboards, and summaries.

Innovation & Product Thinking:

• Participate in brainstorming, prototype new features, and contribute ideas for new research methodologies, products, and automation opportunities.
• Bring forward new concepts, don’t wait to be asked.

Cross-Functional Collaboration:

• Partner with Sales, Client Management, Technology, and Product teams to provide analytical support and subject-matter insights.

What We’re Looking For

• Someone who takes initiative, works independently, and enjoys solving problems without hand-holding.
• A self-starter who identifies what needs to be done and does it.
• A professional comfortable adjusting their schedule to meet deadlines or complete high-impact tasks.
• A creative thinker capable of proposing new approaches, building new tools, and improving existing processes.
• A continuous learner who stays current on asset management trends, data analytics, and emerging technologies (particularly AI-driven solutions).
• Someone who thrives in an entrepreneurial, results-oriented environment.

Required Qualifications

• Bachelor’s degree in Finance, Economics, Data Analytics, Data Science, Statistics, or related discipline; OR 2+ years of relevant experience.
• Strong understanding, or strong interest in developing expertise, in the asset management industry and its ecosystem.
• 1+ years SQL experience (Microsoft SQL Server or similar).
• 1+ years programming experience in Python, Java, or C++.
• Advanced proficiency with Microsoft Excel (XLOOKUP, INDEX/MATCH, pivot tables, array formulas, etc.).
• Strong analytical, organizational, and communication skills.

Preferred Qualifications

• Prior experience in Investment Operations, Compliance, and Risk Management
• Exposure to AI/ML concepts, statistical analysis, or data science workflows.

Pay: $85,000.00 - $95,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Vision insurance

Application Question(s):

• Have you independently completed an end-to-end analytical project, from raw data collection/cleaning through final insight delivery, with minimal oversight?
• Please describe your experience with the asset management or financial services industry.
• Provide an example where you clearly had to identify and communicate business, operational, or regulatory risks to others.

Education:

• Bachelor's (Preferred)

Experience:

• Financial services: 2 years (Preferred)
• SQL: 1 year (Preferred)

Language:

• English (Required)

Ability to Commute:

• Stamford, CT 06902 (Preferred)

Work Location: Hybrid remote in Stamford, CT 06902