Machine Learning Engineer (f/m/x)

DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation.

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

Role Intro

About Investment Banking & Anti-Financial Crime & Compliance (IB&AFCC)

Our IB&AFCC team is responsible for protecting Deutsche Bank from financial and reputational losses incurred by financial crimes by assessing, controlling and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations.

The position demands technical maturity in terms of design and implementation decisions, with overall vigilance of quality. You must have proven experience developing with the tools stack described below in a collaborative scrum of scrums environment. The key result area of this position is team’s ability to deliver high quality code which is testable, maintainable and meets all the business requirements.

Experience with Hadoop ecosystem, performance optimization, development, deployment and maintaining code in production is required, with a preferable previous exposure to financial services / banking and anti-financial crime concepts. This job is well-suited to people who have problem-solving skills, work well as part of a team, and can manage their time effectively to meet deadlines and keep to projected schedules.

Responsibilities

• As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production
• Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and PySpark; ability/willingness to learn how to improve them with machine learning algorithms and models
• Write code and write it well. Use test driven development, write clean code and refactor constantly
• Design and develop excellent and understandable server-side code
• Develop or being willing to learn big data machine learning solutions
• Collaborate closely with product owners, analysts, developers and testers. Make sure we are building the right thing
• Define and evolve the architecture of the components you are working on
• Ensure that the software you build is reliable and easy to maintain in production
• Help your team build, test and release software with short lead times and a minimum of waste.
• Work to develop and maintain a highly automated Continuous Delivery pipeline
• Help create a culture of learning and continuous improvement within your team and beyond
• Actively support the business strategy, plan and value, contributing to the achievement of a high-performance culture
• Take ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution.

Skills

• Experience with Big Data and Hadoop Ecosystem: Spark (Spark SQL, Dataframes, PySpark), HDFS, Hive, YARN, Kerberos
• Good developer skills utilizing Python and PySpark for processing large data volumes
• Familiarity with Pandas, Numpy, Scikit-learn and other relevant ML frameworks
• Good knowledge of working with Databases (e.g. SQL, Oracle, Hive, Impala) and experience in implementing relevant optimization techniques
• Experience using version control systems such as Git
• Proficient understanding of distributed computing principles
• Good knowledge of Unix/Linux environments
• Awareness/information about DevOps practices like CI/CD
• Hands on knowledge of Shell Scripting
• Experience using Control-M Workload Automation tool
• Experience working in an Agile setup, practicing Scrum
• Familiarity with Atlassian stack: Jira, Confluence, Bitbucket
• Have an aptitude for data mining, analytical in the approach to tasks and have a business focus
• Understand statistical modelling and can apply modelling techniques to analyze data
• Experience with Google Cloud Platform
• Versed in working with different data file types in Spark
• Bachelor’s degree from an accredited college or university with a concentration in Computer Science or IT-related discipline (or equivalent work experience/diploma/certification).

Well-being & Benefits

Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health

• Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.
• A professional, passionate, and fun workplace with flexible Work from Home options.
• A modern office with fun and relaxing areas to boost creativity.
• Continuous learning culture with coaching and support from team experts.

Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive

• Private healthcare and life insurance with premium benefits for you and discounts for your loved ones.

Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing.

• Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more.

Financially secure: : we support you to meet personal financial goals during your active career and for the future

• Competitive income, performance-based promotions, and a sense of purpose.
• 24 days holiday, loyalty days, up to 3 health days and bank holidays (including weekdays for weekend bank holidays).

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.