Sr. Performance Strategist, Collections

TrueML

4d • $120,000 - $170,000 • Remote

About The Position

TrueAccord, a wholly owned subsidiary of TrueML, uses machine learning and a human-based approach to help lenders and consumers resolve debt through personalized digital experiences. The Sr. Performance Strategist, Collections owns end-to-end diagnosis of performance shifts across TrueAccord’s AI- and data science-driven recovery platform. The role translates data findings and system behavior into actionable recommendations to improve liquidation, engagement, and client outcomes. It works closely with a Sr. Strategy Manager, Sr. Data Scientist, and agentic AI tools, with a focus on root-cause analysis and strategic impact.

The role supports a global, cross-functional business and operates primarily in a remote-first environment. Flexibility outside standard business hours and occasional local or international travel may be necessary for global operations support, company meetings, training, offsites, and collaborative projects. Work is primarily computer-based, with extended computer use, virtual meetings, and standard office technology. A reliable internet connection and professional work environment are expected, along with the ability to protect confidential information when working outside a company office.

Requirements

• At least 6 years of analytics experience, with a strong focus on funnel or lifecycle diagnosis, cohort or curve analysis, or channel optimization.
• Highly analytical, with the ability to distinguish plausible explanations from root causes and trace issues into software systems and rule configurations.
• Advanced SQL skills, including the ability to navigate complex schemas such as Snowflake and independently build custom datasets.
• Proficiency reading and tracing logic in Python or configuration files; production coding is not required.
• Practical daily use of AI tools in analytical workflows and proficiency with self-serve BI tools such as Looker or Tableau.
• Ability to build defensible what-if models and forecasts, with working knowledge of statistical significance and experimental design.
• Exceptional written and verbal communication skills, with the ability to distill complex analysis into clear takeaways and drive action across Strategy, Engineering, and Product teams.
• Bachelor’s degree in a quantitative field or equivalent experience.

Nice To Haves

• Experience in consumer collections, lending, CRM, subscription, or eCommerce.
• Experience with ML decisioning engines.
• Experience with champion/challenger test design.
• Experience reading system logs.

Responsibilities

• Monitor leading indicators, distinguish external factors from internal drivers, and diagnose performance shifts across clients, portfolios, and channels before they affect liquidation.
• Trace findings beyond standard data tables into application logic, rules, configurations, and processing flows to identify technical defects or strategy gaps.
• Turn root-cause insights into clear recommendations, including expected impacts and success metrics, and partner with the Strategy Manager to put them into production.
• Perform what-if analyses, scenario modeling, and stress-testing to support revenue planning and estimate the impact of client or placement shifts.
• Formulate experiment hypotheses, define decision thresholds, and run or analyze structured experiments to scale, iterate, or discontinue strategies.
• Partner with Client Managers to deliver defensible performance narratives, challenge unsupported strategies, and participate in high-stakes client discussions when needed.

Benefits

• Flexible vacation
• Medical, dental, and vision insurance
• Traditional and Roth retirement savings options
• Company-paid disability and life insurance
• Flexible Spending Account and Limited FSA
• Family-friendly parental leave
• Volunteer and voting time off
• On-demand wellness platform access for the employee and five friends or family members
• PerkSpot discount program for 900+ merchants nationwide

What This Job Offers

• Job Type: Full-time
• Career Level: Senior