The company’s UK headquarters are located at Leeds Valley Park.

Lowell Group launches new graduate programme at UK HQ in Leeds

GFKL Lowell Group, the credit management company, has announced the launch of a new Decision Science/analytics graduate programme.

The new programme will be housed in Leeds at the company’s UK headquarters.

The graduate programme review committee is accepting applications on a rolling basis and successful candidates will start in September 2017, working in the Decision Science department.

GFKL Lowell’s Decision Science department is focused on understanding, measuring, and predicting consumer financial behaviour.

The team comprises business analysts, statisticians and quantitative and behavioral scientists dedicated to addressing analytic problems.

The 18-month programme will see new team members working in a rotational cycle across the core functions of Decision Science, including operational training and with a guaranteed overseas placement.

GFKL Lowell Group will also provide a dedicated mentor for the duration of the programme, and ensure development opportunities are tailored specifically to the applicant’s requirements.

Christopher Trepel, PhD Group Chief Science Officer, said: “Data and industry-leading analytics are central components of GFKL Lowell Group’s competitive strategy and we are constantly searching for candidates who display exceptional problem solving skills, drive, intellectual curiosity and ambiguity tolerance.”

“Our team is routinely focused on questions never before asked in this industry and there’s no better place to start your analyst career if you’re interested in understanding consumers, exploring novel data sets and applying a broad set of methods drawn from mathematics, psychology, economics, and management science.”

GFKL Lowell is seeking applications from those with a BSc (2:1 or better) or MSc in a quantitative discipline such as Business Analytics, Mathematics, Statistics, Physics, or a behavioural science discipline with significant coursework in statistics and/or quantitative methods.

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