Data Scientist Positions in Banking: Apply Now

This article gathers exhilarating Data Scientist positions in Banking

Are you looking for a rewarding data science career in banking? If yes, then you might be interested in these exciting job opportunities. Data scientists are in high demand in the banking sector, as they help to analyze data, generate insights, and support decision-making. Data scientists can work on various projects, such as risk management, customer segmentation, fraud detection, and digital transformation. In this article, we will introduce you to some of the current openings for data scientist positions in banking.

1. Kotak Mahindra

Role: Senior Data Scientist

Location: Bangalore

Kotak 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Senior Data Scientist in Bangalore or Mumbai will be part of the 811 Data Strategy Group, which comprises Data Engineers, Data Scientists, and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience, etc., and help build robust and scalable solutions that are deployed for real-time or near real-time consumption and integrated into the proprietary Customer Data Platform (CDP)

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2. Citi

Role: Data scientist

Location: Bangalore

Responsibilities: The ideal candidate should prioritize client satisfaction by developing analytic solutions tailored to specific business needs. They should possess a comprehensive understanding of multiple business lines to create holistic analytic solutions. Furthermore, they must take ownership of complex analytic projects, from understanding the business context to implementing solutions that yield economic value.

Additionally, the candidate should be a domain expert in their area of focus, such as new customer acquisition, customer management, retention, product development, pricing, payment optimization, and digital journey. They should also stay updated on the latest modeling, machine learning, and deep learning algorithms, sharing knowledge within the team.

Link to apply

3. JPMorgan Chase & co

Role: Senior Data Scientist Associate

Location: Hyderabad

Responsibilities: The role involves leveraging advanced analytics techniques to analyze large and complex datasets, driving data-informed decision-making through the identification of patterns, trends, and opportunities. It also entails visually presenting findings to offer meaningful insights. Collaboration with key stakeholders across various departments is crucial to understand their data intelligence needs and provide relevant insights and solutions.

Link to apply

4. Deutsche Bank

Role: Data analyst/Data scientist

Location: Bangalore

Responsibilities: The Data Analyst in the APAC Anti-Financial Crime Team reports to the Senior Data Analyst and is primarily responsible for executing assigned tasks, including detailed data profiling of source data, investigating data anomalies in the data supplied to TM systems, and generating data-related metrics for ancillary stakeholders. Additionally, the Data Analyst will collaborate with stakeholders and the Senior Data Analyst to gain a comprehensive understanding of data traceability, lineage, and reconciliation aspects related to regional AFC TM systems, including downstream delivery into Case Management, MI input, and enterprise data lakes.

Link to apply

5. IDFC First Bank

Role: Senior Data Engineer

Location: Mumbai

Responsibilities: The data engineer will collaborate with data scientists to develop generative AI solutions in text, audio, images, and tabular data domains. Their responsibilities include handling large volumes of structured and unstructured data, managing its storage, retrieval, and augmenting it with GenAI solutions that utilize this data.

Link to apply

6. ANZ Banking Group

Role: Business Analyst

Location: Bangalore

Responsibilities: The Business Analyst role is integral to the Wholesale Credit Platform – Institutional (WCP-I), which focuses on enhancing and establishing new credit functionalities on the Online Credit Platform (OCP). As a part of the core squad, the Business Analyst will contribute to feature development on the existing OCP Platform and support data integration/migration projects. Collaborating closely with software engineers and data scientists, the team follows Agile methods for design and delivery, emphasizing continuous user feedback. The Business Analyst will play a key role in documenting user stories with a specific emphasis on credit assessment, leveraging both external and internal data sources to extract valuable insights.

Link to apply