Product Lead Consumer Finance Analytics

ING

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profile Job Location:

Amsterdam - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

At ING we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career wed encourage you to apply. Should you have questions about the vacancy or need to hear more before you feel you can apply. Please do not hesitate to reach out to the responsible recruiter.

Retail Banking Analytics (RBA) in ING Analytics is looking for a Product Lead for Consumer Finance Analytics domain. As a Product Lead you will originate and build data-driven algorithmic products. This is an entrepreneurial and global role in an innovative international team.

The team

ING Analytics aims by using data & AI at differentiating ING as a leader in a data-driven organization within the banking sector and beyond. The team consists of delivery tribes focused on the banks key domains (such as Operations Retail Banking Wholesale banking etc.) local country analytics teams as well as strong support areas around data management technology customer journey UX and an analytics office in charge of strategy partnerships portfolio and business development that you will be part of.

We are incredibly excited about Analytics and thegreat potentialfor progress and innovation. We believe that analytics is a key differentiator in bringing superior customer experience. We wish to improve our operational processes and create new and innovative data-driven products that go beyond traditional banking such asthe platformmodels.

RBA specialises in delivering Analytics and AI products and solutions across the ING retail business. We work together with all retail business units to deliver on the ING retail banking strategy. Projects span across personalisation and CI mortgages consumer finance collections pricing and business banking.

Roles and responsibilities

We are looking for a committedambitiousand delivery-orientedProductLeadto support Retail Banking Analytics realize its strategic ambitions.

Product Leads (PLs)havestrategicresponsibility for their product area and thus support the Tribe Leads and Product Area Leads. Theyare responsible forSettingthe product visionDefining the product roadmapandAligningthe product with business objectives.The PLarethe driving force behind the product ensuring thatthe solutionmeets the needs of thecustomer and aligns with the companys overall strategy.

Key responsibilities include:

  • What is the next step in terms of thearea.

  • What Analytics roadmap do we need to get thereWhat is the first step (egexperiment or pilot as value Proofpoint)

  • What are the main impediments with other teams (both other INGA and outside INGA)

Main Activities

  • Define product vision and roadmap.Product leads typically ownandcraft the product strategyand roadmapfor theirdomain across their squads.

  • They interact with the business tribe leads ascounterpart plus actively search foroutside inperspectives plus seekinput from product managers they work with to craft an overall product strategy.

  • Collaborate with senior ING stakeholders to understand needs.

  • Gather input from stakeholders and make informed decisions about the products direction.

  • Understanding customer needs and translatingitinto product requirements. Work closely with customers to gather feedback and insights which then shape the products features and functionalities

  • Manage cross-functional teams todeliver ongoals.

  • Alignment withTribe Leads OtherProduct Leads

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that youll stay curious. Keep learning. Take on return well back you to develop into an even more awesome version of yourself.

  • Proven track record of successfully delivering customer facing solutions within the lending domain. Previous experience in lending pricing collections or credit risk domains is a must

  • Demonstrated ability to align product strategy with business objectives and customer needs.

  • Extensive experience and deep understanding of lending products processes and customer needs.

  • Strong knowledge of analytics including data-driven decision-making and performance measurement.

  • Good understanding of model development cycle including working with machine learning and statistical models relevant to lending domain.

  • Ability to define product vision and roadmap particularly for analytics-driven lending solutions.

  • Experience collaborating with cross-functional teams including data scientists engineers and business stakeholders.

  • Excellent communication leadership and stakeholder management skills.

  • Ambitious delivery-oriented and committed to driving innovation in the lending and analytics space.

  • 10 years of relevant experience managing products & leading teams

  • Degree in relevant field

  • Written and spoken fluency in English

Rewards and benefits

We want to make sure that its possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at Benefits in the Netherlands

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience

  • 24-28 vacation days depending on contract

  • Pension scheme

  • 13th month salary

  • Individual Savings Contribution (BIS) 3.5% of your gross annual salary

  • 8% Holiday payment

  • Hybrid working to blend home working for focus and office working for collaboration and co-creation

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward

Discover what we do and what we can offer you.

Questions
Contact the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.

At ING we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career wed encourage you to apply. Should you have questions about the vacancy or need to hear more before you feel you can apply. Please do not hesitate to reach...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

About Company

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