Senior Data Analyst, Servicing
#удаленка #senior
Company: Figure
Salary: $110k - $150k
🔹What You’ll Do
-Design and implement robust data models that transform raw servicing logs into structured, "gold-standard" datasets. You will ensure our servicing data is clean, organized, and optimized for both reporting and advanced analytics.
-Build and maintain scalable frameworks to monitor delinquency trends, roll rates, and recovery performance using the structured datasets you’ve engineered.
-Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to make data-driven decisions in real-time.
-Create and document standardized data schemas that make insights repeatable across the company, ensuring a "single source of truth" for all servicing-related metrics.
-Act as the analytical backbone for the Servicing team, translating complex operational workflows into logical data structures that drive measurable financial outcomes.
🔹What We Look For
-3–5+ years of experience using data to drive measurable business impact, specifically within loan servicing, collections, or operational analytics.
-Deep proficiency in SQL (preferably BigQuery); you are an expert at handling complex joins, subqueries, and window functions to reconstruct borrower payment histories and lifecycle events.
-Proven ability to design and maintain structured datasets and schemas that transform messy operational logs into clean, reliable tables for servicing performance.
-You don’t just report data; you build intuitive dashboards that help managers visualize roll rates, delinquency buckets, and agent productivity.
-Strong understanding of servicing-specific metrics such as Net Charge-Offs (NCO), recovery rates, payoff behaviors, and loss mitigation effectiveness.
-Proven track record in a fintech or financial services environment, with a solid grasp of how servicing data feeds back into broader Credit/Risk and Capital Markets strategies.
-Working knowledge of Python for data manipulation, automating recurring servicing reports, or performing ad-hoc cohort analysis.
-Appreciation for experimental design for A/B testing collections strategies.
-Clear, confident ability to translate complex servicing trends into actionable insights for both technical teams and operational leadership.
-Comfort navigating the ambiguity of a fast-moving environment and the ability to set analytical direction when servicing workflows or regulations shift.
Contact: https://job-boards.greenhouse.io/figure/jobs/8516954002
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Навыки
BigQuery
data visualisation software
Python (computer programming)
SQL
Домены
Financial Services
FinTech
ИИ навыки
BigQuery
collect financial data
collect samples for analysis
create data models
data extraction, transformation and loading tools
data visualisation software
execute conversion testing
implement data warehousing techniques
perform data analysis
Python (computer programming)
SQL
statistical analysis system software
use specific data analysis software
ИИ домены
Capital Markets
Collections
Credit Risk
Data-Driven Decision Making
Financial Services
FinTech
Loan servicing
Operational Analytics
Risk Management
Servicing analytics
* Домены определены автоматически с помощью нейросети