TDI Private Bank – Data Science Senior Analyst – Assistant Vice President

Deutsche Bank AG; Singapore; Hybrid; SGD 75,000 - 100,000; Full time

Job summary

A leading global bank is seeking a Data Science Senior Analyst to support analytics initiatives in the Emerging Markets region. You will collaborate with various teams to design data models and pipelines, apply machine learning techniques, and deliver insights for strategic decision-making. Proficiency in Python, SQL, and cloud platforms is essential. The role offers a hybrid working model with comprehensive benefits.

Benefits

Comprehensive leave benefits

Hybrid working arrangement

Continuous learning culture

Annual paid leave

Qualifications

• Minimum of 3 years of professional experience as a Data Scientist or Data Engineer.
• Proficiency in cloud-based data platforms.
• Familiarity with Agile methodologies and user story documentation.

Responsibilities

• Collaborate with stakeholders to identify data needs.
• Design and implement data models and pipelines.
• Apply data mining and machine learning techniques.

Skills

Analytical skills

Problem-solving

Communication skills

Collaboration

Data-driven mindset

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Python

SQL

Google Cloud Platform

Job description

TDI Private Bank – Data Science Senior Analyst – Assistant Vice President

Job ID:R0409715 Full/Part-Time: Full-time

Regular/Temporary: Regular Listed: 2025-11-13

Position Overview

Details of the Division and Team:

We are seeking a dedicated and experienced individual to join our team as a Data Scientist supporting the Emerging Markets (EM) region. The successful candidate will be responsible for delivering advanced analytics and data-driven insights to support strategic decision‑making and operational efficiency across EM markets.

You will act as the primary point of contact for all data science initiatives within the region, ensuring timely delivery of high‑quality models, dashboards, and analytical solutions. Your role will involve collaborating closely with regional stakeholders and global teams to understand business requirements, translate them into actionable data solutions, and proactively identify opportunities for optimization. Based in Singapore, you will work with cross‑functional teams to ensure data integrity, resolve analytical challenges quickly, and escalate any systemic issues that could impact multiple markets.

What we will offer you:

• Comprehensive leave benefits
• Hybrid working arrangement
• 21/25 days of annual paid leave, plus public holiday
• A culture of continuous learning to aid progression

Your key responsibilities:

• Collaborate with EM region stakeholders to identify data needs and translate them into actionable insights.
• Design and implement data models and pipelines using tools such as Python, SQL, and Google Cloud Platform.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data‑oriented programming languages and visualization software.
• Build and fine‑tune machine learning models for the regional use cases.
• Implement algorithms for personalization and anomaly detection aligned with compliance requirements.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Ensure robust documentation of data processes, standards, and controls in line with the Bank’s data governance policies.
• Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and delivery cycles.
• Support the rollout of data science and AI initiatives and ensure alignment with regional and global data strategies.

Your skills and experience:

• Bachelor’s or Master’s degree in Data Science, Data Analytics, Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or a related field with a minimum of 3 years of professional experience as a Data Scientist or Data Engineer.
• Strong analytical and problem‑solving skills with a data‑driven mindset.
• Proficiency in Python, SQL, and cloud‑based data platforms (e.g., GCP).
• Ability to apply advanced techniques such as Graph Neural Networks, model risk management.
• Excellent communication skills, both written and verbal.
• Ability to work independently and collaboratively in the context of global cross‑functional teams.
• Familiarity with Agile methodologies and user story documentation.

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

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.