Design, develop and maintain advanced analytical models to support operational contact forecasting, headcount planning, license forecasting and budget planning.
Develop forecasting models using statistical techniques such as time series, regression, machine learning.
Develop linear programming and heuristics based optimization models to recommend optimal headcount plans and schedules in a constrained environment.
Partner with internal stakeholder teams to understand the planning and forecasting related business problems and solve them to raise the bar for decision making.
Develop and maintain advanced forecasting models for key business metrics informing utilization of labor and staffing levels across in-house and outsourced teams using current trends and historical data
Partner with operational planning to understand the business context around headcount planning, workforce scheduling.
Highlight need for productivity efficiencies through data insights from budget and financial performance perspective
Establish and utilize best methods (statistical models, processes and software tools) in creating staffing forecasts
Present planning recommendations to leadership, drive timely decisions, and ensure clear and concise communication to all XFN stakeholders
Lead forecast and capacity planning meetings with stakeholders, reviewing recommended staffing forecasts and goals; Prepare, report, and communicate forecast measurements to management by defending recommendations with sound models and logic
Partner with operational leaders and finance team to support annual planning exercise in setting budget, internal targets on head count, efficiencies and other value creation objectives.
Partner with other analytical functions to get any data needed to be able to generate accurate forecasts
Support analysts in the forecasting team in reviewing technical, analytical and business work for the best possible quality and analyst’s growth.
Identify third parties, data solutions, and other innovative ways to evolve the planning and forecasting practice
Maintain a strong understanding of our evolving data warehouse and provide technical guidance across all of operations

Requirements

Passion and drive to disrupt the lending and financial industry for the better
Bachelors, Masters or Phd in a quantitative field like statistics, industrial engineering, operations research.
5+ years of experience in an analytical environment solving forecasting, planning or similar problems using statistical techniques.
Strong working knowledge of SQL and python or R.
Experience in creating optimization models using linear programming techniques using optimization solvers such as CPLEX, Gurobi a plus
Strong interpersonal skills and ability to work in a team environment, cross-functionally, and with external parties
Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
A passion for finding insights in data and driving change based on those insights
Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
Enough laziness to find a faster way to do your least favorite tasks
Humility and team player - you go out of your way to help teammates

Benefits

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical techniquestime seriesregressionmachine learninglinear programmingoptimization modelsSQLPythonRoptimization solvers

Soft Skills

interpersonal skillsteamworkcreative thinkingcritical thinkingcommunicationproblem-solvingadaptabilityhumilitycollaborationleadership