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Starling Bank
Starling Bank
1001 – 5000 Darbinieki
Kvalificēta darbinieka vīzas sponsorsBanku darbībaFinansesFintech
Starling Bank ir Apvienotajā Karalistē darbojošās digitālās bankas iestāde, kas sniedz pakalpojumus banku darbības, finanšu tehnoloģiju un finanšu pakalpojumu jomā. Banka dibināta 2014. gadā un privātpersonām un uzņēmumiem piedāvā mobilajās ierīcēs balstītus produktus, tostarp norēķinu, krājkontus, eiro kontus un pusaudžu kontus. Tās pakalpojumi ietver budžeta plānošanas rīkus, rēķinu pārvaldību, starptautiskos pārvedumus, overdraftu un uzņēmumu kontus pašnodarbinātajiem un lielākiem uzņēmumiem, kā arī vairāku valūtu bankas pakalpojumus. Kā pilnībā regulēta banka Starling Bank apvieno digitālās ērtības ar drošības funkcijām, klientu apkalpošanu visu diennakti un koncentrēšanos uz inovācijām un ilgtspējīgu banku darbību.
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Vakances uzņēmumā

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.

GBApvienotā KaralisteHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuFull-stack inženierisProgrammatūras inženieris
MākonisSQL

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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