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Chapter Lead Data Scientist



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About ING Hubs

Following ING’s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡ℎ𝑒 𝑃ℎ𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡ℎ𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐ℎ 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.

ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.

𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞

ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.

We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues. Let’s meet!

ING Analytics

ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of several Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics). as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.

Roles and responsibilities

As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.

Role Profile

As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.

Your responsibilities include:

  • Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
  • Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
  • Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
  • Steer and develop your chapter members to meet both their career goals and the organisation’s goals, driving engagement and results via inspiring leadership.
  • Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.
  • Hands-on and multiple retail DS project management in lending, personalization and pricing domains
  • Act as an expert on the craftmanship development needs for Data Science
  • Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
  • Work with your colleagues on the (global) backlog deliveries
  • Attract and retain the best talents, leading interviews when needed for your chapter

How to succeed

Education:Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)

Experience:

  • Management experience in an Agile organization. Management experience in a matrix set up is a plus.
  • Strong analytic skills.
  • Experience as a data scientist in retail domain.
  • Experience/ knowledge of the business of the Tribe you work in.

Competencies:

  • A proven track record in analytics, backlog management and resource planning
  • Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
  • Achieve optimum results by empowering teams
  • Passionate about developing teams to achieve craftmanship and personal development.
  • A mindset that focusses on continuous improvement.
  • Excellent level of python and spark
  • Excellent level of English
  • Agile/Scrum experience

What do we offer:

At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;

At our organization, you first be yourself, then you are ING’er, therefore;

· 14 days of welcome leave days even in your first year! Don’t postpone your dreams!

· We provide self-driven career opportunities where you have never

· Personal growth & challenging work with endless opportunities to realize your ambitions

· An informal, dynamic environment with innovative colleagues supporting your endeavors

· Take a part in global projects and/or career opportunities

· Have fun with various communication activities & celebrations

· We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)

· Private Pension plan for your future dreams

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Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behandelen iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.

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