Forecasting Analyst, Affirm
Full Stack
CA$109-159k
POS installment loans
Be an early applicant
POS installment loans
1001+ employees
Be an early applicant
CA$109-159k
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- We’re looking for intelligent, driven professionals to join our team
- The ideal candidate will have strong analytical and problem solving skills, as well as interpersonal skills to work across the organization and with external partners to drive forward recommendations
- 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
- 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
What the job involves
- The Operations Analytics team is responsible for leveraging data driven insights to drive overall servicing strategy across contact channels, customer segmentation, capacity planning, forecasting and repayment operations
- 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
- Contribute to forecast and capacity planning meetings with Product and Merchant Success managers, review 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
Our take
Affirm offers point-of-sale loans to consumers, working with merchants like Shopify, KAYAK, and Walmart. Buy now, pay later transactions have grown in popularity in recent years, and this business is tapping into the market with a totally different approach to credit - by delivering the Affirm card, the first US debit card with the option to pay-over-time.
Boating over 15 million customers and 245,000+ merchants, the company offers flexible payback options, ranging from 3 to 36 months. The interest rates run between 0% and 30%, so, while they are not necessarily the cheapest option, Affirm prides itself on having no fees for late payments, no hidden charges, and total transparency about what people will pay before they take out a loan.
Affirm collects payments from the customers and pays the merchants directly, shouldering the risk itself. The company has boosted its market share, expanding its availability beyond the US to include most of Canada, and continues to launch new features and create new partnerships towards bettering its offering.
Kirsty
Company Specialist
Insights
Some candidates hear
back within 2 weeks
-11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2020
$500m
SERIES G
Apr 2019
$300m
SERIES F
Total funding: $1.1bn
Company benefits
- Spending wallets
- Supportive communities
- Remote-first workforce
- Generous time off
- Health benefits
- Mental healthcare
- Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- We offer 24 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & development
Company values
- People Come First
- No Fine Print
- It's On Us
- Simpler is Better
- Push the Envelope
Company HQ
Chinatown, San Francisco, CA
Articles
Leadership
Max Levchin
(CEO)Has founded/co-founded numerous companies, holding various executive positions at each, including Paypal, Slide, Glow, HVF Labs, and SciFi VC. Also worked at large brands including Google, Yelp, Yahoo, and Evernote.
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