Senior Associate, Finance Data Analytics & Insights - SLC Management

SLC Management is a growing global asset management firm providing innovative and diversified investment solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1400 organizations. Our history of organic and strategic growth reflects this commitment with over CA$422/US$304 billion in assets under management (AUM). As a subsidiary of Sun Life, we are aligned with one of the world’s leading financial services companies, and benefit from the stability and strength of that relationship.
We are a performance-driven organization with a deliberate focus on fostering a development-focused, inclusive culture revolving around our Core Values of being client obsessed, valuing each other, acting with speed and having an owner’s mindset. As part of our team, you play a role in fulfilling our purpose and making a difference. We offer a rewarding work environment that is filled with opportunity for growth where you will be empowered to meet the challenges of a highly competitive landscape.
Visit our website to learn more and for the most up to date AUM information.
SLC Management offers a mix of in-office and virtual work where our employees are empowered to do their best. Generally, employees are expected to work three or more days in-office each week with flexibility depending on their business, client and team needs.
Job Description:
We are seeking a Senior Associate, Finance Data Analytics & Insights to join our Toronto-based finance data team. This role sits at the centre of SLC Management's finance data vision and acts as the bridge between the business and our data infrastructure — translating what leaders need into how data is structured, governed, and reported, and then turning that data into executive-ready analytics and insight.
The successful candidate will own data that underpins accurate and timely external financial and non-financial reporting, generate the management reporting and metrics our leadership team uses to run and optimize the business, and lead initiatives to automate and streamline our end-to-end finance data operations.
This is deliberately a well-rounded mandate. We are looking for someone with genuine business acumen and an understanding of alternative asset management, who is equally comfortable in a room with senior leaders and in the details of a data model. The role carries direct management accountability, including coaching and development. We welcome candidates from a range of backgrounds — finance, data and analytics, engineering, investment banking, private equity, or consulting.
WHAT YOU WILL DO:
Business partnership and translation — Act as the bridge between finance and business stakeholders and our data and technology teams, gathering requirements, defining use cases, and translating business questions into data and reporting solutions that actually get used
Data management and integrity — Own and maintain the finance and non-finance data that underpins external reporting, including data structure, classifications, lineage, quality checks, and reconciliation across business units
Management reporting — Produce and continuously improve the management reporting package and metrics used by the SLC leadership team, including alignment of classifications and streamlining of the package
Analytics and insight generation — Move beyond reporting to identify trends, variances, and drivers; deliver clear, executive-ready analysis and recommendations rather than data dumps
Visualization and BI — Build, enhance, and maintain Power BI dashboards and self-serve reporting; support rollout and adoption across business units
FP&A systems and data platforms — Support implementation and ongoing use of enterprise planning and data platforms, including the migration of our data warehouse and implementation of future FP&A enterprise tools
Automation and GenAI — Identify and implement opportunities to automate and streamline finance data operations end-to-end, including the application of GenAI-based approaches such as a chatbot enabling leaders to engage directly with our finance data repository
Controls environment — Maintain a strong controls mindset over finance data, ensuring accuracy, completeness, auditability, and appropriate review across reporting processes
Executive communication — Prepare clear, well-structured presentations and written analysis for senior finance and business leaders
Cross-functional collaboration — Maintain strong working relationships with affiliate finance teams, SLC IT, Sun Life IT, and SLC Finance functions
People leadership — Manage, coach, and develop junior team members, setting clear standards for analytical quality and attention to detail
Project delivery — Run and support multiple concurrent initiatives against tight timelines, sequencing work and keeping stakeholders informed
WHAT YOU WILL NEED TO SUCCEED:
Bachelor's degree in Finance, Accounting, Economics, Business, Engineering, Computer Science, or a related field
Approximately 4–7 years of relevant experience; we welcome varied backgrounds including corporate finance or FP&A, data and analytics, engineering, investment banking, private equity, or management consulting
Experience in or demonstrated understanding of asset management, alternative investments, or financial services is strongly preferred
Demonstrated experience building and maintaining dashboards and reporting in a BI/visualization tool, ideally Power BI
Comfort working with databases and structured data environments (e.g., SQL, data warehouse platforms such as Snowflake); hands-on experience with enterprise FP&A or planning tools (e.g., OneStream, Anaplan, Hyperion) is an asset
Practical experience applying generative AI tools (e.g., Microsoft 365 Copilot or comparable platforms) to improve analysis, reporting, or productivity is preferred; genuine curiosity to apply them more rigorously is essential
Coding exposure (e.g., Python, SQL, VBA, or similar) is helpful but not strictly required — we care more about aptitude and willingness to learn
Strong proficiency in Excel and PowerPoint is required, including the ability to build executive-quality presentation materials
Experience preparing analysis or materials for senior stakeholders
Prior mentorship or people leadership experience is an asset
CPA, CFA, or relevant data/analytics certifications are a nice to have, not a requirement
PREFERRED SKILLS:
Business acumen — a strong understanding of alternative asset management is critical; knows how the business makes money, what drives AUM, fees, and margin, and why a given number matters to a leader
Data translation — able to move fluidly between a business conversation and a data model, and to explain technical concepts in plain language to non-technical audiences
Intellectual curiosity — asks why, digs into root causes, and proactively seeks to understand the business, the data, and new tools
Technology focus — genuinely energized by technology and continuously looking for better, faster, more reliable ways to do things
Generative AI fluency — comfort applying GenAI to analytical, reporting, and workflow problems, with the judgement to validate outputs and apply appropriate controls
Analytical rigour — structured problem solver who works accurately with large and imperfect datasets and can defend their conclusions
Streamlining and automation – ability to engineer process transformation and automation of key workflows
Exceptional attention to detail — produces accurate, internally consistent, reporting-grade work; understands that this data feeds external disclosure
Communication and presentation — strong written and verbal skills, with the ability to build compelling, executive-ready materials and present with confidence to senior stakeholders
Self-starter — takes ownership, sets their own direction, and drives work to completion without close supervision
Works through ambiguity — comfortable with open-ended problems, incomplete information, and evolving requirements; frames the problem and moves forward
Controls mindset — instinctively builds in checks, documentation, and review
Collaboration and influence — builds credibility across finance, technology, and business unit teams and influences without direct authority
Coaching — invests in developing junior talent and raising the standard of the work around them
Integrity and discretion — handles confidential and market-sensitive information with professionalism
Why SLC Management?
Opportunity to work for a growing global institutional asset manager
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