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Data Scientist

eFinancialCareers
Job LocationManchester
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

The vacancyWith the business going through an exciting period of growth & development we are currently looking for a Data Scientist to join us on a permanent basis.The position sits within the central data science function, whose purpose is to lead and support analytical projects on each of our platforms. The team acts both as a project team, owning and delivering products to various stakeholders, and as a consultancyto teams around the business.You will have the opportunity to work on a number of projects that will range from designing frameworks for collections strategies to determining optimal staffing structures on our platforms, or supporting on valuations and investment strategy across thegroup. You will have a large amount of freedom on how you choose to solve these problems - we are always interested in learning something new.As a central function, we aim to support and guide our local analytics teams, while taking the lead on esoteric or commercially sensitive workstreams.This is a permanent role and will be based at our Manchester offices with the opportunity for hybrid working.What will you be doing

  • Build, maintain and execute forecasting models; Unsecured consumer/SME, secured consumer/SME, real estate developments, other niche/specialist asset types
  • Build or advise on operational models bespoke to each platform (e.g. value prediction, classification)
  • Produce models and analysis to an auditable standard, and be able to lead auditors through the work
  • Produce high quality supporting analysis for particular deals/projects in a fast paced and high-pressure environment
  • Communicate complex solutions to a variety of stakeholders.
  • Lead in the design of best-practise solutions:
  • Design of data marts.
  • Design of collections strategies, from testing through to reporting.
  • Documentation standards
  • Manage multiple stakeholders from a variety of business areas, and be able to prioritise work
Is this you
  • Experience implementing and productionising statistical modelling.
  • Experienced with a statistical programming language. Willing to use R or python.
  • Proven stakeholder management experience
  • Experienced with SQL
  • Strong problem solving skills
  • Have experience of any of the following; AWS, R or python, Monte Carlo techniques, machine learning
Why Arrow GlobalArrow Global is a leading European investor and asset manager in the non-performing and non-core assets sector. Operating in five different geographies and servicing over 9 million customer accounts, we are evolving a discretionary Fund Management businessin order to capitalise on our market opportunities. Our Purposebuilding better financial futuresWe offer a competitive salary and attractive benefits package and we pride ourselves on rewarding success with our excellent bonus scheme and incentive package. We also have very interactive subsidised events, colleague engagement teams, employee recognitionand development programs and the opportunity to work across multiple European countries.Please notewe are an equal opportunities employer and FCA regulated company - we will conduct credit, fraud, criminal record and 5-year reference checks as part of our pre-employment screening.Who we areArrow is a vertically integrated asset manager and a leading European credit servicer, combining information advantage, proprietary deal access, and operational know-how to execute deeply informed transactions with consistently high returns.Arrow is an ambitious company. Our determination to succeed is matched by our drive to do things the right wayensuring we create a sustainable business that builds better financial futures for our stakeholders.We are entrepreneurial, fast-paced and decisive. Proud of our family values, we cherish working together in a safe, supportive community. We trust our people to make the right decisionsand we back them all the way. Were also brave enough to acknowledgemistakesand to learn from them. We celebrate success and reward those who take personal accountability to help us achieve exceptional long-term results.Were open and eager to embrace new ways of working. Ours is a diverse community, enriched by our local identities, working collaboratively to build a powerful, unified and dynamic organisation.

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