Data Scientist

mthree is seeking a Data Scientist to join the Insights & Analytics (I&A) team at a top-tier multinational investment bank. This role offers the chance to contribute to modern cloud and data platforms, work on meaningful technical challenges, and be part of a dynamic, forward-thinking environment and could be the perfect next step in your career.

Role purpose

(overall high-level summary of the role)

The person in this role is expected to re-design and rationalize the Analytics, Technology, Architecture and Data. We are seeking Data Analytics/Business Data Analyst. The person will play a key part in using the power of data to solve problems, improve efficiency and generate actionable insights to support the business operations within Wholesale. The person will work closely with business stakeholders and other data professionals to develop and implement data-driven solutions for various bank wide use cases.

Responsibilities

(e.g., for Business, Customers and Stakeholders; internal control environment, etc.)

• Extract, transform, and load (ETL) from various sources, ensuring data quality, accuracy, and integrity. Design and optimize data pipelines, ensuring efficient data extraction, storage, and processing.
• Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance advanced analytics capabilities.
• Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns for identifying risk and opportunities.
• Develop innovative and impactful data-based tools and models for propensity modelling and risk mitigation, continuously evaluate the effectiveness of models and make recommendations for improvements.
• Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback.
• Lead a functional team of SMEs/ Technical Specialist to provide supervisory cover and functional support as deemed necessary. This may or may not include Line Management responsibilities that would entail continuous performance and developmental feedback for the employees. Provide necessary support, review and back up cover plans for the function.

Functional Knowledge

• Good to have knowledge of Banking domain use cases with specific applications to data science problems.
• 6+ years of relevant experience, preferably in banking and financial sector.
• University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, PhD in quantitative field is highly preferred.
• Proficiency in using Python, SQL, or similar analytically oriented programming languages.
• In depth knowledge and experience with machine learning techniques and algorithms. Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc.
• Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation.
• High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery.
• Open minded and self-motivated with good communication and interpersonal skills as well as strong sense of responsibility.
• Knowledge and good experience with data visualization tools such as Qlik Sense will be a strong plus.

Data Scientist

Data Analytics

Business Data Analyst

Data Science