Senior Portfolio Analyst

Lightspeed (Formerly SEOshop)

full-time

Posted on: 9/28/2025

Location Type: Hybrid

Location: Seattle • Washington • 🇺🇸 United States

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Salary

💰 $75,000 - $101,000 per year

Job Level

Senior

Tech Stack

CloudGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSQLTableau

About the role

Analyze complex credit and lending data to enhance business strategies and optimize decision-making
Develop strategies to mitigate losses and support growth, risk management, and regulatory compliance
Collaborate with cross-functional teams to deliver solutions that strengthen the capital lending product
Conduct extensive data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships
Develop predictive and prescriptive models to forecast market trends, fraud, delinquency, customer behavior, and other critical business metrics
Utilize various data sources and data preprocessing techniques to ensure data quality and integrity
Collaborate with business leaders to provide data-driven insights and recommendations that drive strategic decision-making
Identify opportunities to leverage data to improve product offerings, customer experience, and operational efficiency
Design, develop, implement and maintain machine learning algorithms and AI solutions for risk assessment, fraud detection, and portfolio management
Explore and experiment with state-of-the-art machine learning techniques to improve accuracy and efficiency
Create clear data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders
Translate analytical results into actionable business insights and present findings to senior management

Requirements

Proven experience as an Analyst, preferably in the financial services sector, with a track record of successful project delivery and business impact
Experience in risk modeling software and tools (e.g., SAS, R, Python, Matlab) and machine learning using libraries such as NumPy, Pandas and scikit-learn
Solid understanding and practical experience with machine learning algorithms, statistical modeling, and data mining techniques (bonus points for experience with ML engineering and/or operations in a production setting)
Familiarity with cloud platforms (we use GCP) for scalable data processing and analysis, as well as, for machine learning model development and deployment
Strong knowledge of databases and SQL for data retrieval and manipulation
Experience with data visualization tools like Looker, Tableau or Power BI to create insightful reports and dashboards
Excellent problem-solving skills, analytical thinking, and the ability to thrive in a fast-paced, results-oriented environment
Effective communication and presentation skills, with the ability to communicate complex technical concepts to non-technical audiences
A Master's or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, or Mathematics is nice to have

Benefits

A flexible work environment that empowers you to do your best work
A culture that celebrates performance
The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard
Career-defining opportunities
Flexible paid time off and remote work policies
Equity options, because this is your company too
Contributions to your pension plan. Your future matters
Training opportunities to grow your skills and career
Health and wellness credit so you feel your best
Time off to volunteer and give back to your community
Interest groups, employee led networks, social committees to sponsored sports teams
Computer purchase program to get your personal Macbook
Enhanced parental leave to support growing families
Medical, dental, wellness, life and disability insurance
401K plan and match
Paid parental leave top-up
Paid time off

ATS Keywords

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

Hard skills

data analysismachine learningstatistical modelingrisk modelingdata miningpredictive modelingprescriptive modelingdata preprocessingdata visualizationSQL

Soft skills

problem-solvinganalytical thinkingcommunicationpresentation skillscollaborationstrategic decision-makingadaptabilityresults-oriented

Certifications

Master's degreePh.D. degree