Product Lead - Local Model Implementation

Warszawa (Zajęcza 4)

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We are looking for you, if you are:

  • product oriented leader and person who gets energized by creating business value and delivery,
  • an inspiring people manager with at least 5 years’ experience, who like to work with end to end responsibility for both product delivery and team building and long-term development,
  • a leader with high agency and focus on getting things done,
  • a risk professional with at least 3 years of working experience with financial risk modelling or reporting in financial industry,
  • a pro-active sparring partner/advisor to Senior Management,
  • a naturally collaborative person who listens and invests in others to achieve common goals,
  • fluent in English and have very good communication skills,
  • willing to work in an international and inclusive team focused on creativity and modernity,
  • organized & persuasive attitude; you like to interact and build relationships and are a role model in these aspects.

You'll get extra points for:

  • quantitative background, i.e. a MSc or PhD degree in e.g. (Financial) Econometrics, Financial Mathematics, Quantitative Financial Economics, Mathematics, Statistics, Physics,
  • experience with risk models lifecycle, especially model implementations, risk data modelling, model governance,
  • experience with ML or statistical modelling,
  • in depth credit risk domain knowledge, including regulatory models (IRB, IFRS9)
  • having a keen eye on innovation,
  • strong analytical and problem-solving capabilities,
  • experience with the agile way of working.

Your responsibilities: 

  • Manage squads (data analysts, business analysts, statistical programmers, data scientists) within your product team,
  • Setting vision & goals for model implementations ensuring:
    • Implementing models in a consistent way in the modelling platform
    • Building ready for use model output data structures
    • Governing the model implementation process and setting the standards in the organization
  • Influence global COO Risk organization strategy by being part of leadership of respective global Modelling Tribe,
  • Ensure quality of service provided by your product within Risk Hub Data&Tools Department by being part of Risk Hub team within ING Hubs,
  • Cooperating with main local and international senior stakeholders,
  • Actively supporting and searching for new business opportunities to grow area and Tribe,
  • Continuously focuses on creating the optimal lay out for the product ream considering strategic priorities, customer needs, target architecture etc.,
  • Ensure continuous improvements, promote a feedback culture and drive team happiness in alignment with tribe and domain lead vision and strategy,
  • Accelerate and strategically organize the recruiting and the onboarding of new talents.

Information about the squad:

The Risk Hub Data & Tools department is and international team of over 150 professionals. Our expertise lies in data analytics, building solutions for structural data flows and reporting, building tools for model development and implementing credit risk models. Our team performs structured model implementations using global ING Modelling Platforms, working closely together on international projects with the teams in Amsterdam and other locations. As a Product Lead you will be a member of the Leadership Team of Risk & Finance Data Analytics Area.

The COO Risk Modelling Tribe is the functional line with which you will be working on and report to. The Tribe focuses on supporting the whole chain of model lifecycle delivering platforms and tools, implementing and governing risk models, building the data structures to support model output reporting and calculations. As a Product Lead you will be a member of the Leadership Team of the Modelling Tribe.

The role naming convention in the global ING job architecture will be “Lead Financial Risk II”.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Credit risk Data Analytics Econometrics Economics Finance Machine Learning Mathematics ML models PhD Physics Statistics

Perks/benefits: Career development

Region: Europe
Country: Poland

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