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d1g1t is a North American fintech company founded in 2016, now with 90+ employees. The company has built a wealth management platform used by 90+ advisory firms across Canada and the US, providing financial advisors with advanced analytics and insights to enhance client conversations and engagement. Originally incubated at the Fields Institute in Toronto (a world-recognized mathematical institute), d1g1t is led by experienced financial engineering professionals and backed by top fintech investors.
The Solutions Engineer role is a pre-sales position within the Sales group, focused on articulating d1g1t's wealth management value proposition to prospects and clients. This is an individual contributor role for someone who is a team player and comfortable expressing views directly and professionally.
Key responsibilities include: supporting the pre-sales process through product demos to prospects and refining pre-sales messaging; designing and refining demo environments to showcase product functionality for different target audiences; gathering requirements from prospects and providing input to product management; contributing to marketing collateral, white papers, and user guides; developing presentations on new or complex topics and updating them as the product evolves; organizing and completing RFP/RFI requests for qualified prospects; and serving as a liaison between Sales and the Financial Engineering team to facilitate knowledge transfer and manage resources.
Required qualifications: 5+ years of work experience with demonstrable knowledge in risk, wealth, or portfolio management (performance attribution, portfolio optimization, trading, portfolio construction, stress testing, data science, etc.); strong presentation skills and ability to articulate value propositions persuasively; self-motivation and ability to direct own project work with minimal supervision; professional demeanor with strong time management and rapport-building abilities; solutions engineering experience or familiarity with d1g1t or similar wealth technology solutions; bachelor's degree in a related field. Preferred: programming experience in R, Python, Julia, VBA, or similar languages; master's degree in a quantitative field; professional designations such as CFA, CFP, CAIA, or FRM. The ideal candidate is interested in solving complex problems, moves fast, asks great questions, and challenges the status quo.
