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Credit Risk Modeling Senior Associate

Department:
Risk
Location:
Berlin

About the opportunity

Are you ready for your next career step? N26 is looking for a Credit Risk Modeling Senior Associate to further develop the credit risk function at a cutting-edge technology-driven bank, establishing credit risk analytics tools, developing credit risk models based on state of the art data science and technology, as well as latest regulations in cooperation with leading business and tech experts, and taking a key role in assessing, controlling and reporting credit risks.

In this role, you will:

  • Be a key contributor to further developing N26 credit risk models (e.g., PD, LGD, CCF, Debt-Servicing Coverage, Early Warning Systems) in order to accommodate N26 growth and risk leadership aspirations
  • Methodologically support in preparing and executing modeling and calibration steps, evaluating the results, assisting the final model selection and documenting the results including description and motivation of all modeling choices made
  • Shape credit risk management’s enabler role for Banking Products by helping to develop state-of-the-art credit solutions for N26's global customer base and supporting new products and markets processes through proper credit risk assessments
  • Develop, backtest, monitor, and improve credit risk models and decisioning tools, using state-of-the-art statistical and machine learning methods together with Data Science
  • Support building an effective credit risk database from internal and external sources and using latest technologies (e.g., open banking) for automating and improving credit decisioning, monitoring and reporting
  • Support the implementation and adherence to legal and regulatory requirements (e.g., MaRisk, GDPR, IFRS9) and applicable best practices (e.g., EBA/ECB/BaFin guidelines on internal models and on machine learning) for our credit risk model house in all relevant markets and segments

What you need to be successful:

Background: 

  • You have a quantitative academic background (e.g. applied mathematics, natural science, quantitative finance/economics, statistics/econometrics, engineering) with outstanding grades - MSc, PhD is a plus
  • You are a subject-matter expert with 3-5 years of progressive experience in Credit Risk with direct practical experience in the following areas: risk reporting, analytics, credit risk modeling and/or validation
  • You have acquired practical experience in developing credit risk models (PD/LGD/EAD) and a sound understanding of rating systems’ design, development, validation, and implementation steps (experience with design of PD Master Scales is a plus)
  • You know the fundamental elements of retail credit process ranging from credit origination to intensified management and have a comprehensive understanding of credit risk drivers in retail banking P&L as well as a sound knowledge of provisioning (including IFRS9, German GAAP is a plus)
  • You have a good understanding of the essentials of effective data management, including direct experience of working with relational databases (experience with cloud data warehouse technologies is a plus)

Skills:

  • Strong analytical and statistical skillset coupled with hands-on programming experience in SQL and Python (experience with machine learning is a plus)
  • Great #SQL skill: you easily deal with self-joins and window/analytical functions, you know how to performs joins efficiently, you can write an optimal SQL code with 100 lines in a reasonable amount of time to fetch the data of interest and curate it for discovery and prototyping
  • Great data wrangling skills in  #python:  you are well versed in data types and data structures, pandas is your go-to tool when it comes to performing data quality checks and integrating datasets as well as performing other data manipulations for preparing data for developing and calibrating risk models, you can leverage on pandas’s functionality for effective data visualization
  • Applied Credit Risk Modeling skills with #python: you can perform basic feature engineering using pandas & numpy for univariate and multivariate analyses, you have a very strong grip on linear models in #python (e.g., you know how to make a scikit-learn logistic regression model perform similarly to statsmodels), you know how to implement the main metrics for measuring data representativeness, discriminatory power, and calibration accuracy of credit risk models
  • Entrepreneurial vision, an autonomous attitude, and a ‘get things done’ approach
  • Hands-on approach and eagerness to tackle new topics while demonstrating a quick grasp in conceptual project work and strategic thinking
  • Fluent English, German is a plus

Traits:

  • Strong topic ownership and bias for action
  • Rigorous critical thinking and drive to improve the status quo
  • Excellent communication and (senior) stakeholder management skills
  • Passion for data and complex problem-solving
  • Both attention to details and strong conceptual thinking
  • Flexibility in a fast-changing environment
  • Actively help yourself and the team be successful
  • Will to continuously learn and act upon direct feedback

What’s in it for you:

  • Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
  • Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
  • As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
  • Vacation days vary depending on your location of work. Additional day of annual leave for each year of service.  
  • A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. 
  • A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

Founded in 2013, now has 7 million customers in 24 markets. We employ more than 1,500 employees across 3 office locations in Berlin, Vienna and Barcelona. Besides the main offices, N26 also has local offices in Paris, Madrid, Milan, and São Paulo.

Sound good? Apply now for this position.

N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.