Job Description

About You

You have an inquisitive mind and passionate to learn new things. You probably have graduated from university in the areas of Computer Science, Analytics, Data Science or equivalent, and have two or more years of experience in data analysis, dashboarding, and working with Python, R, Scala, and data science tools to create machine learning models. You would have worked with data before and have a clear idea as to how to extract features and ask questions about the data sets.

You might have also been working in the IT infrastructure and system operation or support areas with commensurate experience. You are very enthusiastic about data and the journey it goes on, moreover by how our journeys are shaped through and by it. You may want to dive in and conduct analysis, but this will tempered by understanding how important the outcomes of models are to those who depend on them, and you\'ll always consider their correct and proper use first.

You might have collaborated with developers, data engineers, and domain experts to develop and evolve intelligent ML models by a successive of \'delighters\', small models that can quickly provide high-level answers to some of the most difficult problems in infrastructure and system operations domain today.

Business Function

The Data AI/ML Analyst - IT infrastructure and System, is part of the Technology Services (TS) under Technology & Operations organization. TS operates and supports core infrastructure for the Bank including mainframe, data center, enterprise monitoring, enterprise job scheduling, active directory, access management, end point devices management, and end user services management. TS is seeking to use data and AI/ML technologies to enhance the effectiveness, timeliness, and scale of IT operations. There are numerous diverse data sources, viewpoints, and timeframes for this role to bring together to build innovative, intelligent, and secured products incorporating ML technologies with other developers and product owners.

The AIOps Opportunity

We\'re looking for someone who is technically literate and understands various ML (machine learning) techniques and how to apply them. You should be experienced in Python (or other languages used in the field of AI/ML) using an Integrated Development Environment (IDE), to build Machine Learning Models and visualizations using common toolsets such as Grafana, Power BI, etc. Beside machine learning models, we are also experimenting use of other AI techniques like Natural Language Processing, and Digital Twin representations. The cadence of work will follow Agile principles and structure. The range of data sets will cover logs, metrics, and events generated from our operations.

Your knowledge of models, dashboards, and data preparation would be well exercised, and we\'d like you to go on a journey with us to build AIOPS (AI operations) in DBS IT infrastructure regionally. Furthermore, you will have opportunities to participate in promoting, shaping, and advising AIOPS to application teams.

Responsibilities

Infrastructure Data Analyst will be involved in working on augmenting the effectiveness of infrastructure and system operations using AI/ML technologies. Responsibilities include, but are not limited to:

• Understand the current operation process and its challenges
• Identify opportunity to apply AI/ML technologies to improve the current operation process effectiveness, timelines, and scale of coverage
• Provide input to data acquisition efforts for the program
• Work with stakeholders to understand their questions and how we can answer them in effective and achievable ways
• Analyze data sets and create models from them. Continue to refine and progress the model by working with operation stakeholders
• Present information using data visualization techniques
• Work with data scientists from our analytics center of excellence to tune the existing models and build new ones
• Document the requirements from stakeholders and ensure that we design and implement understandable models and dashboards with captured rationales. Good designs will be easier to maintain and enhanced
• Incrementally improve model reliability, efficiency, and quality for our project
• Design and develop and business intelligence reports / performance measurement dashboards / analytics output for operations productivity improvement and manual processes automation
• Perform basic data clustering and analysis, classifying where we can and building understanding
• Provide operational assistance and guidance for the resulting data product to Architects and the wider team
• Establish and maintain continuous delivery pipelines for the deployment of Machine Learning Models
• Design, document, refine, and implement models that can answer our questions in line with the current state of the art, working with the team to foster a culture of continuous process improvement
• Collaborate with engineering and product development teams. Be interested in operation and support technical details
• Continuously learn the architecturally possible options within the bank\'s technology stack and aim off to ensure that the appropriate components are utilized and maintained

Requirements

One of the requirements to work well with real data is recognizing that nothing is perfect, however ideally, you would cover most of these items:

• Bachelor\'s Degree in Data Science, Statistics, Analytics, or equivalent knowledge and experience
• Interest in data science and you may hold certifications from vendors such as Cloudera, Databricks, or others
• Interest in IT infrastructure and systems. You may hold or be pursuing certification around this area
• Rapidly create dashboards using Excel, Tableau, Grafana, Power BI or similar. Visualizations that work for operators, senior management, etc.
• Hands on experience with machine learning (2-3 years in industry focusing on similar work)
• Knowledge of data science tools such as Spark, NumPy, PyTorch, TensorFlow, etc.
• Working knowledge of coding in Python, especially if it\'s used for data projects, familiarity with ML libraries
• Principles of Machine Learning and its techniques such as simple mathematical models, clustering, etc.
• Working knowledge data engineering including Extract, Load and Transform (ELT) is desirable
• Experience working with teams performing systems automation and integration (leveraging an agile methodology (scrum) / Kanban / lean techniques) is nice to have, as would experience or knowledge of working under more traditional project management.

Company Overview

DBS is a leading financial services group in Asia, with over 200 branches across 15 markets. Headquartered and listed in Singapore, DBS is a market leader in Singapore with over four million customers and has a growing presence in the three key Asian axes of growth, namely, Greater China, Southeast Asia and South Asia. The bank\'s strong capital position, as well as "AA-" and "Aa1" credit ratings that are among the highest in the Asia-Pacific region, earned it Global Finance\'s "Safest Bank in Asia" accolade for three consecutive years, in 2009, 2010 and 2011.

Why Join Us?

DBS: Large, strong and growing DBS is the largest bank in South East Asia and one of the strongest in the world. Coupled with a growing footprint in the three key axes of growth, namely Southeast Asia, South Asia and Greater China, DBS is uniquely positioned to capture numerous opportunities in the region. For five consecutive years since 2009, Global Finance named DBS the "Safest bank in Asia", with credit ratings of "AA-" and "Aa1", among the highest in the Asia-Pacific region. With a resilient balance sheet and prudent financial management, it stands out as one of the few banks with the strength and confidence to grow both its revenues and its employees in an industry facing considerable uncertainty.

Team / Exposure

AIOPS (AI operations) is a nascent and key focus for the bank across our markets. We work closely with stakeholders to explore opportunities to enhance our operation capabilities using AI/ML. The successful applicant works alongside the team in a quick cadence, discovering the banks tools and environment, understanding data and its fellow and collaborating to design and deliver solutions that transform the approach of the team, as well as combine technologies in innovative and novel ways. The core technologies and operation insights from teams in DBS will benefit your expertise and experience.

Career growth

You\'ll notice that the role is focused on two areas covering infrastructure and data. We\'ll seek to help you validate your experience in Analytics, Data Science and Visualization, and this is a good chance to take your focus and excel as our first Generalist Data Scientist or visualization and UX Designer on an established program in the future.

Given the rapidly growing importance of analytics in the industry and the sharp focus of DBS top management, strong performance in this role, demonstrating in-depth understanding and strong execution skills will set the incumbent on a trajectory to senior roles within T&O. DBS is confident that it will be able to provide a good performer with many opportunities to grow and develop as result of the strong internal mobility options and the bank\'s commitment to people development.

Full training on the banks process and mentoring will be provided.

Compensation

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements.

Primary Location: Singapore

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