Senior Credit Risk Analyst

Lumi; Sydney; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Wellbeing: Free counselling

Home Workspace Allowance

Parental Leave

Parental Flex Leave

Lumi Life Leave for challenging events

Breastfeeding/expressing space

Monthly lunches

Beer & kombucha on tap

Job summary

Lumi is a leading fintech lender in Australia seeking a data-driven professional to develop, calibrate and monitor credit risk models. You will track performance, analyse portfolio trends and set the analytical direction for risk reporting to senior management.

The role requires hands-on modelling experience, strong SQL and Python/R skills, and a passion for adopting new tools, including AI approaches, to improve efficiency and governance.

Qualifications

• Tertiary qualification in a quantitative discipline such as statistics, mathematics, data science, actuarial studies, finance or economics (preferred)
• Demonstrated experience in credit risk analytics, modelling or portfolio insights within financial services, ideally in lending.
• Hands-on experience developing, calibrating and monitoring credit risk models (e.g. application or behavioural scorecards).
• Experience turning portfolio data into clear, actionable insights for senior management and governance forums.
• Strong proficiency in SQL and at least one analytical programming language (e.g. Python or R) for data analysis and model development.
• Interest in evaluating and adopting new tools and techniques, including AI-assisted modelling and analysis.

Responsibilities

• Develop, calibrate and monitor credit risk models (e.g. scorecards or equivalent) to support lending decisions
• Track model performance over time and recommend redevelopment or recalibration where needed
• Use data-driven analysis to identify portfolio trends, emerging risks and opportunities
• Set the analytical direction and methodology for risk reporting, partnering with colleagues who own reporting delivery
• Evaluate and adopt new tools and techniques (including AI-assisted approaches) to improve modelling efficiency
• Maintain clear documentation of model methodology and assumptions to support internal and external review
• Collaborate with quality assurance and policy colleagues to understand how real-world lending patterns may signal emerging risk
• Hands-on experience developing, calibrating and monitoring credit risk models (e.g. application or behavioural scorecards).
• Experience turning portfolio data into clear, actionable insights for senior management and governance forums.

Skills

Credit risk modelling

SQL proficiency

Python or R

Data analysis

Portfolio insights

AI-assisted modelling

Documentation

Stakeholder communication

Education

Tertiary qualification in quantitative discipline (statistics, mathematics, data science, finance or economics)

Tools

SQL

Python

R

Job description

We are a leading Fintech small business lender fuelling growth by making finance more accessible. We deliver fast & flexible funding designed to meet the unique needs of Australian businesses. With over $1.5 billion funded since 2018 and backing for 15,000+ small businesses, we're trusted for our speed, high quality service, and tailored approach.

WORKING AT LUMI

We are building a culture where you can 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 are incredibly proud of our awards, including most recently our Deputy CEO, Anna Hawter, receiving the Finnies’ 2025 Outstanding FinTech Leader of the Year award. We have ranked in the top #3 on the Australian Financial Review BOSS Best Places to Work Banking, Superannuation and Financial Services list. We ranked #36 among the fastest-growing technology companies in Australia in the 2022 Deloitte Technology Fast 50 Australia. We are also WeMoney’s Small Business Lender of the Year – two years running.

We foster a workplace where everyone feels a sense of respect and can reach their full potential. 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.

THE ROLE

• Develop, calibrate and monitor credit risk models (e.g. scorecards or equivalent) to support lending decisions
• Track model performance over time and recommend redevelopment or recalibration where needed
• Use data-driven analysis to identify portfolio trends, emerging risks and opportunities
• Set the analytical direction and methodology for risk reporting, partnering with colleagues who own reporting delivery
• Evaluate and adopt new tools and techniques (including AI-assisted approaches) to improve modelling efficiency
• Maintain clear documentation of model methodology and assumptions to support internal and external review
• Collaborate with quality assurance and policy colleagues to understand how real-world lending patterns may signal emerging risk
• Tertiary qualification in a quantitative discipline such as statistics, mathematics, data science, actuarial studies, finance or economics (preferred)
• Demonstrated experience in credit risk analytics, modelling or portfolio insights within financial services, ideally in lending.
• Hands-on experience developing, calibrating and monitoring credit risk models (e.g. application or behavioural scorecards).
• Experience turning portfolio data into clear, actionable insights for senior management and governance forums.
• Strong proficiency in SQL and at least one analytical programming language (e.g. Python or R) for data analysis and model development.
• Interest in evaluating and adopting new tools and techniques, including AI-assisted modelling and analysis.

BENEFITS & PERKS

• Wellbeing: Free counselling, seasonal activities, Wellbeing Allowance, wellness room, flu shots
• Work Life: Home Workspace Allowance, Purchased Leave, Parental Leave, Parental Flex Leave, Lumi Life Leave for challenging events, breastfeeding/expressing space
• Social & Food: Monthly lunches, regular celebrations, stocked kitchen, beer & kombucha on tap, board games, rooftop BBQs
• Rewards & Recognition: Competitive pay, referral bonuses, shout-out recognitions
• Career & Growth: Rapid advancement opportunities, higher education sponsorship, hackathons