SME Credit Portfolio Manager (London or Cardiff)

London, England, United Kingdom · Credit

Description

Starling is on a mission to build the best business bank in the world serving the needs of the small and medium-sized enterprises (SMEs) who are the lifeblood of the economy.

From small entrepreneurs with big ambitions to fanatical freelancers going it alone, SMEs just want one thing: to get on with the business of running their business. That’s why Starling built its SME bank accounts to be free, uncomplicated and quick to set up. We really understand the needs of SMEs - after all, it’s not that long since we started out to build our state-of-the art digital banking platform from scratch. Now, we’re an established player, supporting more than 775,000 customers, including more than 59,000 SME accounts.

We’ve recently been awarded £100m from a fund created to boost competition and innovation in SME banking. We’d like to invite you to join our fast-growing, highly-skilled, caring and passionate team as we embark on the next stage of our incredible journey to drive even more long-term and meaningful change in banking

We have the culture and spirit of a fast-moving, disruptive technology company and are focused on providing our customers with the best banking app and money management experience around. Everyone at Starling gets the chance to own interesting things from day one, and we’re told one of the best things about working here is the ability to achieve a lot in a short space of time.

We are looking for a SME Credit Portfolio Manager with a passion for data and driving customer outcomes. An individual that is comfortable with working at all levels, from getting their hands dirty with data manipulation to co-ordinating and owning the credit risk strategy framework for SME.


RESPONSIBILITIES

Requirements

  • 5+ year’s experience designing, developing and implementing strategies in a Credit Risk environment
  • Knowledge of core statistical techniques including but not exclusive to how credit risk decision models are created and leveraged in decisioning
  • Knowledge of credit risk decisioning platforms.
  • 5+ year’s experience in SQL (preferable PostgreSQL)
  • Preferably knowledge of R and / or Python
  • 3-4 year’s experience mentoring junior colleagues
  • Excellent Excel skills including pivot tables, lookups and VBA
  • Strong communication skills
  • Knowledge of designing/ developing/ maintaining reporting systems
  • Demonstrated experience using statistical, analytical and visualisation skills to generate insights
  • Ability to learn quickly and understand financial products and system architecture
  • Able to work to project deadlines both effectively and efficiently
  • The ability to multi-task whilst maintaining high levels of attention to detail
  • University degree (or equivalent) in Mathematics/Statistics/Computer Science/Physics
  • Benefits

    Full details are available on our careers site.

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