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

Recruitment Outsourcing; Singapore; Hybrid; SGD 70,000 - 100,000; Full time

Job summary

A leading financial institution in Singapore is seeking an experienced Data Scientist to deliver advanced analytics and data-driven insights. The successful candidate will collaborate with regional stakeholders, implement data models, and support AI initiatives. A Bachelor's or Master's degree in a related field and proficiency in Python, SQL, and GCP are required. The role offers flexible benefits, comprehensive leave, and a culture of continuous learning.

Benefits

Flexible benefits plan including virtual doctor consultation services

Comprehensive leave benefits

Gender Neutral Parental Leave

Hybrid working arrangement

21/25 days of annual paid leave plus public holidays

Culture of continuous learning

Qualifications

• Minimum of 3 years of professional experience as a Data Scientist or Data Engineer.
• Experience in data mining, data modeling, and machine learning.
• Familiarity with Agile methodologies.

Responsibilities

• Design and implement data models and pipelines.
• Collaborate with stakeholders to identify data needs.
• Build and fine-tune machine learning models.

Skills

Data-driven mindset

Analytical problem-solving

Excellent communication skills

Independent and collaborative work

Education

Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, or a related field

Tools

Python

SQL

Google Cloud Platform

Job description

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 elevate any systemic issues that could impact multiple markets.

What we will offer you:

A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• 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, or a related field, with a minimum of 3 years of professional experience as a Data Scientist or Data Engineer.
• Demonstrate experience in solving analytical problems with a data‑driven mindset using statistical models, machine learning, or data visualization tools.
• 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.

Deutsche Bank & Diversity

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.