Senior Manager – Loan Portfolio, Revenue

atOportunRemoteUS flagUnited StatesFull-timeManagerSenior$112.5k – $180k/year

Posted Oct 21

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the creation, upkeep, and enhancement of detailed revenue forecasting models, encompassing drivers, scenarios, sensitivities, and long-term planning.

• Oversee lending portfolio balance and roll-forward models that include originations, repayments, prepayments, charge-offs, loss curves, delinquency trends, and credit-performance assumptions.

• Collaborate with teams in Credit, Product, Data, Accounting, Operations, and business leaders to enhance forecast inputs while identifying risks and opportunities.

• Spearhead strategic financial analysis to support business planning, capital allocation, growth strategies, pricing, product decisions, partnerships, and potential M&A initiatives.

• Create forecast narratives and effectively communicate drivers, variances, risks, and opportunities to senior leadership.

• Prepare materials for discussions with executives, investors, and the Board.

• Enhance scalability, transparency, governance, and documentation of financial models and planning processes.

• Automate analyses and refine modeling workflows.

• Assist in evaluating and facilitating the migration of planning models to platforms like Anaplan or Pigment.

• Mentor and develop members of the finance team.

• Identify opportunities for improvement in forecasting, planning, modeling, and financial decision-making.

• Utilize AI and automation to expedite analysis, validate models, enhance documentation, and uncover insights.


⛳️ Requirements

• Over 8 years of progressive experience in FP&A, strategic finance, corporate finance, investment banking, private equity, lending, fintech, or a similar domain.

• Proven expertise in constructing complex, driver-based financial models and conducting cost-benefit analyses.

• Significant experience in lending, consumer credit, structured finance, or a related financial services environment.

• Familiarity with portfolio balances, roll-forwards, loss curves, charge-offs, delinquency trends, and credit-performance assumptions.

• Strong capability in utilizing data to assess business performance, evaluate scenarios, and pinpoint forward-looking risks and opportunities.

• Proficient in using SQL, Python, R, dbt, or comparable tools to automate, validate, or analyze financial models.

• Ability to convert complex financial analyses into straightforward recommendations for executive and Board-level audiences.

• Experience in preparing materials for senior leadership or Board meetings, including forecast updates, financial performance presentations, and strategic analyses.

• Exceptional cross-functional leadership abilities across Finance, Credit, Product, Operations, Data, and executive leadership.

• Advanced skills in Excel and presentation creation.

• Strong analytical judgment, problem-solving capabilities, and meticulous attention to detail.

• Nice-to-have: Experience in M&A, corporate development, investment banking, private equity, or transaction modeling.

• Nice-to-have: Background in a high-growth, technology-driven financial services or fintech environment.

• Nice-to-have: Experience in managing, mentoring, or developing finance professionals.

• Nice-to-have: Familiarity with Anaplan, Pigment, or similar enterprise forecasting platforms.

• A Bachelor's degree in Finance, Accounting, Economics, Business, or a related field is preferred.

• An MBA, CFA, CPA, or similar advanced credential is a plus.

• Nice-to-have: Experience with AI-enabled finance, analytics, or productivity tools.

• Nice-to-have: Experience utilizing ChatGPT, Copilot, or similar tools.


🏝️ Benefits

• Medical, Dental & Vision Insurance.

• 401(k) with company matching.

• Flexible PTO and Parental Leave.

• Company-paid Life & Disability Insurance.

• Competitive compensation and benefits package that promotes physical, financial, and professional well-being.

• Encouragement to use AI tools and experiment to enhance work and productivity.

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