below marketmost similar roles pay hereabove market
This role pays more than
67%
of similar roles. Most pay
$157,200–$215,000
— the blue band above.
At the midpoint, this role pays about
$208k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
255 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 236 roles with salary data.
The Staff Loss Forecasting Lead joins the QuickBooks Capital team to manage and enhance loss forecasting models for small business lending initiatives. The role involves partnering with credit teams to maintain portfolio risk tolerance while collaborating with capital markets, finance, and accounting departments to communicate methodologies and provide forward-looking guidance. Key responsibilities include improving forecasting accuracy, documenting procedures, and conducting in-depth analysis of lending portfolio performance to create dashboards for senior leadership. The position requires developing solutions for data quality and feature generation while contributing to the design of new financing products. Candidates must possess expertise in Python, R, SQL, and relational databases. Required domain knowledge includes credit bureau attributes, scorecard modeling, pricing, loss forecasting, collections, and fraud detection within a fintech or lending context.
Develop and enhance loss forecasting models to reflect new lending business initiatives.
Partner with the credit team to maintain portfolio risk tolerance while supporting growth.
Improve forecasting accuracy and maintain thorough documentation of methodologies and procedures.
Analyze lending portfolio performance and consolidate insights into dashboards for senior leadership.
Develop solutions to enhance data quality, structure, and feature generation.
Contribute creative ideas for the design of new financing products for customers.
Communicate methodologies and provide forward-looking guidance to capital markets, finance, and accounting teams.
What we're looking for
MS/PhD in a quantitative field or a Bachelor's degree in a quantitative field with 6+ years of relevant work experience.
7+ years of experience in an analytics-related role.
Experience in lending or fintech (preferred).
Proficiency in analytics tools such as Python or R, advanced Excel, and strong SQL and relational database querying capabilities.
Domain knowledge in risk-related areas such as credit bureau attributes, scorecard modeling, pricing, loss forecasting, collections, and fraud detection.
Proven track record of extracting insights from data to address business needs and driving innovation in the lending industry.
Excellent communication skills and the ability to take ownership of initiatives in a fast-paced environment.
Meticulous attention to detail with strong organizational, time management, and task prioritization skills.
SQL
Python
R
Stata
Databricks
SSMS
Numpy
Pandas
Scikit-learn
AWS
Azure
Jupyter Notebooks
Regression Analysis
Time Series Forecasting
Econometrics
Statistical Modeling
Data Science
Python
SQL
R
Machine Learning
Artificial Intelligence
Data Visualization
C++
JavaScript
Go
Hadoop
Spark
Kafka
Hive
MySQL
MapReduce
Plotly
Seaborn
ggplot2
EMR
Gurobi
Microsoft Office Suite
Data Pipelines
Python
SQL
R
Machine Learning
Artificial Intelligence
Data Pipelines
Data Visualization
C++
JavaScript
Go
Hadoop
Spark
Kafka
Hive
MySQL
MapReduce
Plotly
Seaborn
ggplot2
Microsoft Office Suite