Product Manager (Consumer Lending Analytics) at Ing Firm

, Istanbul, Turkey -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

0.0

Posted On

29 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Analysis, Communication, Team Collaboration, Problem Solving, Analytical Thinking, Innovation, Agile Methodologies, Lean Methodologies, Design Thinking, Customer Intelligence, Risk Management, Pricing, Financial Crime, Data Science, Technology

Industry

Banking

Description

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 𝐓𝐮𝐫𝐤i𝐲𝐞 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 a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Customer Intelligence, Risk Management, Pricing, Financial Crime) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships. Retail Banking Analytics Retail Banking Analytics (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 customer intelligence, mortgages, consumer lending, and business banking. The opportunity RBA in ING Analytics is looking for a Product Manager. As a Product Manager you will originate and build data-driven algorithmic products in consumer lending area such as analytical solutions for credit decision systems, pricing, collection etc. This is an entrepreneurial and global role in an innovative international team. About you Bachelor’s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master’s degree or PhD will be a plus), Broad experience leading and delivering analytics use cases and products is a must Previous experience and proven knowledge of working in corresponding area is a plus. 4+ years of relavant work experience Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment Excellent analytical skills and attention to details Desire to use modern technologies as a disruptive influence, Open-minded for new technologies. Strong verbal and written communication skills in English and Turkish How to Succeed Manage the entire analytics product development in prioritised area(s) in RBA – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units, understanding and enthusiasm for technology, advanced analytics and data science methods Product discovery: identify (data) problems, prioritize idea backlog and design and execute experiments to determine what problems need solving, Potential to extend product area when further grow. Manage data-driven products so that they generate significant value for ING and its customers, create value propositions, vision and product strategy Good understanding of innovation and product management methodologies such as Lean, Agile and Design Thinking, ability to develop structured product concepts from abstract ideas and lead prototyping Effective Communication: Work with a squad of Data Scientists and Engineers to discover the potential of a product idea, the user problem and validate and prototype Demonstrate thought leadership internally and externally Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors Flexibility & Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business What We Offer at ING Hubs Turkiye At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here’s what you can expect when you join our organization: Be Yourself, Be an ING'er Dynamic Environment: Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors. Innovation Culture: Share your innovative ideas while exploring PACE methodology with us. Global Exposure: Participate in global projects and expand your career opportunities. Communication & Celebrations: Enjoy various communication activities and celebrations that promote a friendly work environment. Health Care: Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children. Private Pension Plan: Secure your future dreams with our private pension plan. If you want to do your thing and explore the life while working don’t miss this opportunity! We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow. Your future at ING starts with one application. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations! Use the filters below the search bar – like location and job type – to help you find the perfect fit. Start exploring now and discover where your next career move could take you!

Responsibilities

As a Product Manager, you will manage the entire analytics product development in the Retail Banking Analytics area, from outlining solutions to implementation and capability transfer to business units. You will also identify data problems, prioritize ideas, and design experiments to solve user issues.