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Data Scientist

ONMO
London
1 week ago
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ABOUT US

Onmo believes that everyone has the right to access, understand and manage their money with confidence. Our ambition is to improve lives by providing better clarity, intelligence and technology to empower every individual in making the smartest financial decisions. We may be young but we have an incredible team in place and big ambitions for the years ahead.


We design our products to help demystify money matters wherever possible, providing customers with more financial control and flexibility in their lives. This helps them get more from what they have, or with smart decisions, make more of the same. It also means people spend less time with the negative aspects of money and more on the positive - enjoying what the world has to offer.


ABOUT THE ROLE

We have a solid model framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies


You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating plan and achieve customer focus and ambitions. This means you’ll be contributing to the development and execution of the credit risk team’s roadmap and helping to prioritize tasks to ensure that delivery is met.



RESPONSIBILITIES

Model Development and Implementation

  • Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation.
  • Ensure data integrity and quality through validation and auditing processes.
  • Evaluation of scorecard effectiveness, with accompanying documentation.
  • Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for re-evaluation.

Analytics

  • Design and conduct experiments to test hypotheses and improve decisionmaking, defining expected outcomes and tracking against these.
  • Understand wider process and customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests.
  • Identify areas where modelling can create uplift in decisions, efficiency, and costs.
  • Explore new data sources and methodologies to improve the customer journey and decisions.

Controlling Credit Risk

  • Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact.
  • Evaluate granular performance against expectations, checking adherence to risk appetite and regulatory requirements.
  • Define appropriate pricing and limits, based on risk and return principles, working closely with the commercial team to understand market conditions.


ABOUT YOU

Your Approach

  • Self-motivating, with a natural interest in understanding how things work and fit together.
  • Ability to switch from working independently to collaborating across the business with ease.
  • Happy to work at a growing company, where one day does not always look the same as the next and everyone rolls up their sleeves to help make things happen.
  • Solution-oriented with a drive to engage others to deliver solutions improving customer experience and profitability.


Ways of Working

  • Create and feed into structured working, simplifying onboarding of others and functioning of the team.
  • Take others with you, by sharing your work, and creating clear documentation.
  • Proactive automation of work, to allow more time for analysis and impactful change


QUALIFICATIONS / EXPERIENCE

  • Exposure working with varying data sources (bureau and open banking data would be a plus).
  • Foundational understanding of how credit cards work.
  • Strong coding skills, with a focus on structure and automation.
  • Defining and building insightful MI.
  • Good presentation skills, using the data to tell a story.
  • Ability to prioritize workload and manage time effectively, communicating proactively.
  • Excited about defining the foundations and best practices to allow automation and smart solutions for our customers.
  • Tools experience that is beneficial: Python (required), SQL, Power BI.
  • Good experience using XGBoost & Logistic regression models as a minimum.

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