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Starling Bank
Starling Bank
1 001 – 5 000 Darbuotojai
Kvalifikuoto darbuotojo vizos rėmėjasBankininkystėFinansaiFintech
„Starling Bank“ yra Jungtinėje Karalystėje veikiantis skaitmeninis bankas, teikiantis paslaugas bankininkystės, finansinių technologijų ir finansinių paslaugų srityse. 2014 m. įkurtas bankas privatiems klientams ir įmonėms siūlo mobiliąsias paslaugas, įskaitant einamąsias, taupomąsias, eurų ir jaunimo sąskaitas. Jo paslaugos apima biudžeto planavimo įrankius, sąskaitų tvarkymą, tarptautinius pervedimus, kredito limitą ir verslo sąskaitas savarankiškai dirbantiems asmenims bei didesnėms įmonėms, taip pat daugiavaliutę bankininkystę. Kaip visiškai reguliuojamas bankas, „Starling Bank“ skaitmeninį patogumą derina su saugumo funkcijomis, visą parą teikiamu klientų aptarnavimu ir dėmesiu inovacijoms bei tvariai bankininkystei.
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Darbai įmonėje

Senior Analytics Engineering Team Lead, Fraud and AML

Lead analytics engineers and fraud and AML reporting, while improving data models and supporting machine learning initiatives at Starling Bank.

GBJungtinė KaralystėHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųFull-stack inžinieriusPrograminės įrangos inžinierius
DebesijaSQL

Aprašymas

  • Manage and coach a team of analytics engineers
  • Partner with stakeholders to identify and prioritise business needs
  • Oversee and improve a broad analytics estate used across business functions
  • Lead multiple workstreams from planning through delivery
  • Deliver quarterly priorities alongside ongoing responsibilities and ad hoc requests
  • Maintain recurring reporting for fraud and anti-money laundering
  • Support data science and machine learning model development and monitoring

Reikalavimai

  • Bring extensive analytics engineering experience, with expert SQL and data modelling skills
  • Have practical experience using dbt or a similar framework to build structured, tested, maintainable data models
  • Be proficient with Looker or a comparable business intelligence tool
  • Demonstrate a record of managing, supporting and developing analytics engineers
  • Manage projects effectively, prioritising incoming work and delivering cross-functional data initiatives
  • Communicate clearly and produce strong documentation
  • Understand data governance and risk management
  • Ideally, have experience with fraud, anti-money laundering or financial crime data
  • Ideally, have worked in a regulated financial services environment
  • Ideally, have experience with cloud data warehouses and CI/CD
  • Ideally, have experience with Git and peer review workflows

Privalumai

  • 33 days of annual leave, including public holidays, which can be taken at a time that suits you
  • An additional day off for your birthday
  • Annual leave increases with length of service, with the option to buy or sell up to five additional days
  • 16 hours of paid volunteering leave each year
  • Salary sacrifice arrangements and an enhanced company pension scheme
  • Life insurance worth four times your salary and group income protection
  • Private medical insurance with VitalityHealth, including mental health support and cancer care
  • Partner discounts with Waitrose, Mr & Mrs Smith and Peloton
  • Family-friendly policies
  • A refer-a-friend incentive scheme
  • Perkbox membership with retail discounts, a physical and mental wellness platform, and weekly free and boosted perks
  • Access to schemes including Cycle to Work, salary-sacrificed gym partnerships and electric vehicle leasing

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