Lumi | Senior Modelling Analyst – Credit Risk | Sydney
vor 1 Monat
We are a fast-growing non-bank lender that provides business loans and lines of credit to small-medium-sized enterprises (SMEs).
We help Australian small businesses flourish by offering fair, transparent, straightforward business funding where business owners and our intermediary partners are not required to jump through hoops, read between the lines and be concerned about what's the catch?
WORKING AT LUMI
We are building a culture where you can be you, grow and make a difference for customers.
We are looking for people to join us on this journey who are passionate, curious and great problem-solvers.
We ranked in the top #3 on the 2024 Australian Financial Review BOSS Best Places to Work Banking, Superannuation and Financial Services list.
We were awarded the 2023 Best Workplace Diversity Award by FinTech Australia and the 2022 Empowering Innovation Affie Award.
We also ranked #36 among the fastest-growing technology companies in Australia in the 2022 Deloitte Technology Fast 50 Australia.
We foster a workplace where everyone feels a sense of belonging and respect and can reach their full potential.
We encourage you to be your authentic self and if you need any adjustments for a fair recruitment process, please let us know when applying.
OUR VALUES
Egos at the door: We own.
We don't judge.
We don't blame.
We are open.
We are in this together.
See the customer: We show up.
We understand.
We anticipate.
We do what we say.
We genuinely focus on solutions.
Think lean: We make things simple.
We are resourceful.
We understand the problem.
We think ahead.
Learn to grow: We are curious.
We challenge.
We try.
We fail forward.
We learn.
We try again.
Job Description THE ROLE
Developing credit models to calculate application scores, probability of default, and loss estimates for small business customers.
Monitoring model performance, analysing movements and generating model monitoring reports.
Creating comprehensive documentation of models and preparing data for model development.
Performing complex credit risk analysis to support credit risk decisioning.
Work and influence across a range of cross-functional teams.
Qualifications At least 3 years in credit modelling with experience managing statistical modelling involving large amounts of data.
Analytical programming language experience and expertise (e.g., Python, Pyspark, R, etc), in addition to very strong SQL experience.
Substantial credit risk management expertise, including experience in unsecured lending and credit model development.
Effective communicator to both technical and non-technical audiences.
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