Standard Charteredposted 25 days ago
Bangalore, IN
Credit Intermediation and Related Activities

About the position

This role is within the Security Monitoring & Analytics service line and supports the Cyber Defence Centre (CDC) to identify, develop, and implement threat use cases. The candidate will work closely with the Cyber Defence Center (CDC) and Cyber Threat Use Case Manager to drive and continuously enhance threat use cases and mature the Alerting and Detection strategy across the bank. Our Technology & Operations (T&O) team is the powerhouse for the Bank. We aim to go further, faster, to ensure we are agile and ready for tomorrow, today. Our diverse network enables us to innovate and build banking solutions that support communities to prosper. We are a place where talented people are encouraged to grow, learn, and thrive, to drive their own career journeys, to reach their full potential. When you collaborate with us, you are protecting the reputation and legacy of a 170-year organisation and building on it. We are driven by progress and continuously evolving to ensure we are agile and ready for tomorrow, today.

Responsibilities

  • Design, train and fine-tune large-scale language models using state-of-the-art deep learning techniques and NLP architectures (i.e., GPT, BERT, T5 etc)
  • Create and optimize data processing pipelines to clean, tokenize, and vectorize large, structured and unstructured text datasets, ensuring high-quality data is input into models for training and evaluation.
  • Fine-tune pre-trained language models on domain-specific datasets to improve performance for various use-cases, such as text summarization, question answering, sentiment investigation and entity recognition.
  • Leverage AI agents and LLMs to extract valuable insights from security data and enable proactive threat detection, vulnerability assessment, and automated response to enhance the organization's overall security posture.
  • Design and architect the orchestration of agentic frameworks, ensuring seamless integration and coordination of AI agents to automate complex workflows, enhance decision-making, and optimize system performance across cloud-native environments.
  • Automate analysis, security testing, vulnerability discoveries, threat intelligence gathering and consuming threat feeds to track adversaries.
  • Work closely with Threat Intelligence, Cyber Defence Center, and business stakeholders to identify potential threat scenarios and translate them into threat use cases.
  • Identify and improve orchestration, data enrichment and triage capabilities through SOAR platform and improve decision making with LLMs and AI agents.

Requirements

  • Minimum 5+ years experience in Python and its AI/ML ecosystems i.e., PyTorch, Tensorflow etc.
  • Strong knowledge and hands-on experience with agentic frameworks, including the development and integration of AI agents and LLMs for automating complex decision-making processes and intelligent system interactions.
  • Experience in deploying NLP models and agentic frameworks to production environments ensuring scalability, low latency, and high availability.
  • Continuously optimize the performance of models by experimenting with hyperparameters, model architectures, and resource-efficient techniques to balance accuracy, inference speed and computational cost.
  • Proficient in writing and consuming RESTful APIs using Python or other programming languages, enabling seamless integration between services, data retrieval, and efficient communication with microservice architecture.
  • Hands-on experience in configuring and deploying services to cloud-native environments such as OpenShift (OCP) and Kubernetes, ensuring seamless scalability, security, and high availability in containerized infrastructure.
  • Experience with Apache Airflow and similar orchestration tools, utilizing them to automate, schedule, and monitor complex data workflows and ETL pipelines.

Benefits

  • Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
  • Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
  • Flexible working options based around home and office locations, with flexible working patterns.
  • Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits.
  • A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
  • Being part of an inclusive and values-driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Hard Skills
Kubernetes
1
OpenShift
1
PyTorch
1
Python
1
RESTful API
1
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Soft Skills
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