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Director, Presales Data Science (Credit Risk)

132 300 - 207 900$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director, Presales Data Science (Credit Risk): Designing and articulating FICO Score solutions for consumer lending clients with an accent on credit risk analytics, solution configuration, and business value translation. Focus on leading technical discovery, quantifying ROI, shaping commercial proposals, and translating model performance into executive and technical narratives.

Location: Work from Home, United States

Targeted base pay range: $132,300–$207,900 annually

Company

hirify.global is a global analytics software company providing credit scoring, fraud detection, lending, and decision-management solutions to businesses worldwide.

What you will do

  • Design presales solutions and explain the analytical details, features, services, and business value of hirify.global Score products.
  • Partner with Scores Sales Executives and Client Success Managers across acquisition, expansion, renewal, and post-sale handoff activities.
  • Configure hirify.global Score solutions around client needs, regulatory context, operational realities, and analytic use cases.
  • Lead technical discovery sessions, solution walkthroughs, and value-based discussions with executive and technical stakeholders.
  • Translate analytics, model performance, and score usage into clear business and ROI narratives.
  • Provide technical input for pricing, RFx responses, proposals, deal reviews, and client-facing materials.

Requirements

  • Subject matter expertise in US credit risk, consumer lending, retail banking, and analytics.
  • Strong experience in presales, solutions consulting, and analytics.
  • Ability to translate complex technical concepts into business value for executive and technical audiences.
  • Experience with client discovery, analytic use cases, analytic ecosystem mapping, and operationalizing analytics.
  • Experience in consumer lending, credit risk, or regulated financial services environments.
  • Strong collaboration skills across Sales, Client Success, Analytics, and Product Management.

Culture & Benefits

  • Inclusive, people-first work environment guided by customer focus, ownership, and mutual respect.
  • Professional development through learning experiences and opportunities to leverage individual strengths.
  • Competitive compensation, benefits, and rewards programs.
  • Work-life balance, employee resource groups, and social events.

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