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Hum­boldt-Inno­va­tion GmbH

Applic­a­tions are invited for a PhD research pos­i­tion at the Chair of Inform­a­tion Sys­tems, School of Busi­ness and Eco­nom­ics, Hum­boldt-Uni­versität zu Ber­lin, Ger­many.

The School of Busi­ness and Eco­nom­ics is renowned for high qual­ity research and edu­ca­tion. Research at the Chair of Inform­a­tion Sys­tems focuses on quant­it­at­ive empir­ical meth­ods to inform, sup­port, and auto­mate mana­gerial decision mak­ing. We spe­cial­ize on machine learn­ing algorithms for struc­tured and unstruc­tured data pro­cessing and their applic­a­tions in fin­ance, mar­ket­ing, and e-com­merce. Our staff par­ti­cip­ates in gov­ern­ment­ally fun­ded research and know­ledge trans­fer pro­jects with industry part­ners. See http://bit.ly/hu-wi for more inform­a­tion.

PhD Can­did­ate Pos­i­tion in Credit Risk Ana­lyt­ics (f/m)

Work­ing field:

The pos­i­tion is part of the Chair’s ini­ti­at­ives in the scope of credit risk man­age­ment. It is offered in close col­lab­or­a­tion with HU Innov­a­tion GmbH and sponsored by Kred­itech Hold­ing SSL GmbH.
Kred­itech’s mis­sion is to improve fin­an­cial free­dom for the under­b­anked with the use of tech­no­logy. Com­bin­ing non-tra­di­tional data sources and machine learn­ing, the com­pany is aim­ing to provide access to bet­ter credit and a higher con­veni­ence for digital bank­ing ser­vices. The product offer­ings include con­sumer loans, a digital wal­let and a per­sonal fin­ance man­ager designed to help cus­tom­ers man­age their credit score and plan their spend­ing. Kred­itech also offers a “Lend­ing as a Ser­vice” model, allow­ing part­ners to integ­rate Kred­itech’s credit products via an API into their own plat­form and ser­vices.

Require­ments:

Applic­ants for the PhD pos­i­tion should have a recent Mas­ter degree in com­puter sci­ence, data sci­ence, stat­ist­ics, math­em­at­ics or a related area. In par­tic­u­lar, any exper­i­ence in machine learn­ing, arti­fi­cial intel­li­gence or com­pu­ta­tional stat­ist­ics will be an asset. Exper­i­ences in bank­ing and fin­ance are also wel­come.

Applic­ants are expec­ted to have strong ana­lytic and pro­gram­ming skills, the abil­ity to work inde­pend­ently, strong inter­per­sonal and Eng­lish lan­guage skills.

What we of­fer:

The suc­cess­ful can­did­ate will have the oppor­tun­ity to join one of the lead­ing research uni­versit­ies in Ger­many, be part of a focused research group of data sci­ence enthu­si­asts, con­trib­ute to the solu­tion of chal­len­ging real-world busi­ness prob­lems, and exper­i­ence the fas­cin­at­ing space of AI-based digital fin­ance.

The pos­i­tion is avail­able to be filled imme­di­ately and offers a fixed-term con­tract for a three years period. The salary amounts to 0.75 TV-L E13 (roughly 30.000 EUR per year).

How to ap­ply:

Applic­ants are encour­aged to apply as soon as pos­sible. The dead­line for applic­a­tions is the 9th of Feb­ru­ary 2018.

Please apply via email to stefan.lessmann@hu-berlin.de. Your applic­a­tion should include a cover let­ter and an aca­demic CV with your tran­scripts. Addi­tional inform­a­tion (e.g., ref­er­ence let­ters) may be added. For any ques­tions con­tact Prof. Dr. Stefan Less­mann stefan.lessmann@hu-berlin.de via email.

We are an affirm­at­ive action / equal oppor­tun­ity employer. Woman and mem­bers of minor­it­ies are encour­aged to apply.