Strategy and Analytics Sr Associate - Card Product (Fintech)

Location: New York, New York, USA; hybrid schedule with four days per week in the office and Wednesdays working from home.

Base salary: $140k–$170k per year, plus bonus, equity, and benefits.

Company

hirify.global builds fintech and software solutions for healthcare practices, including a modern card product designed to improve how doctors manage their businesses.

What you will do

• Lead card feature launches from strategy and market research through business cases, success metrics, and cross-functional execution with Product, Engineering, Risk, Compliance, and Marketing.
• Identify and evaluate strategic partnerships, issuers, networks, vendors, and acquisition opportunities; build financial models and deal memos and support diligence and negotiations.
• Advise co-founders and the executive team through executive meetings, pre-reads, recommendations on product priorities, deal economics, and growth opportunities.
• Analyze card performance, customer behavior, transaction trends, unit economics, rewards, merchant performance, and customer lifetime value to improve growth, engagement, and profitability.
• Design and measure A/B tests, build dashboards and reporting frameworks, and define core KPIs including activation, spend, retention, interchange revenue, and rewards utilization.
• Partner with Product, Engineering, Data, Marketing, Finance, and Operations on structured analyses, reporting automation, data infrastructure, metric definitions, promotional calendars, and ad hoc strategic requests.

Requirements

• 2–6 years of experience in investment banking, private equity, hedge funds, strategy consulting, corporate strategy, strategic finance, fintech, or another highly analytical environment.
• Strong quantitative and analytical skills with experience solving complex, ambiguous business problems using data.
• Experience building financial models, business cases, forecasting models, or investment-style analyses.
• Strong understanding of unit economics, business KPIs, and performance measurement frameworks.
• Experience working with large datasets and BI tools such as Sigma, Retool, Tableau, Looker, or similar platforms.
• Advanced Excel skills and the ability to build detailed, structured quantitative models.
• Experience partnering with Product, Engineering, or Data teams to define metrics and evaluate experiments.
• Strong communication skills with the ability to translate complex analysis into clear, actionable recommendations.
• High ownership mindset and comfort operating in fast-paced, ambiguous startup environments.
• Bachelor’s degree in Finance, Economics, Engineering, Mathematics, Statistics, or a related quantitative field.

Culture & Benefits

• High-ownership environment focused on urgency, excellence, intellectual rigor, trust, respect, and accountability.
• Equity participation for employees.
• Comprehensive health, vision, and dental insurance options.
• Employer 401(k) match.
• Hybrid work policy with four office days and one work-from-home day per week.