About the role

  • Ensure solutions are AI-ready so that agents can interact seamlessly with data and models.
  • Telemetry capacity forecasting and anomaly detection to anticipate system load, detect irregularities, and prevent failures.
  • Historical threshold analysis for metrics, logs, and traces to establish baselines and identify deviations over time.
  • Dynamic, high-performance visualizations capable of displaying and exploring large volumes of telemetry data.
  • Self-service analytics workbench empowering internal teams and customers to run anomaly detection and statistical models independently.
  • Automated incident contextualization to correlate telemetry anomalies with logs, traces, and historical incidents for faster root-cause analysis.
  • Data retention and lifecycle optimization with analytics-driven policies that balance storage costs against long-term insight value.

Requirements

  • 5+ years of product management experience in observability or IT operations for financial services.
  • Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection.
  • Experience working with monitoring, predictive analytics, or automation tools.
  • Hands-on experience with telemetry data (logs, metrics, traces) and IT infrastructure monitoring (e.g., OpenTelemetry, Prometheus, ELK, Splunk, ITRS Geneos, Datadog, Dynatrace, etc.).
  • Knowledge of AI/ML frameworks (TensorFlow, PyTorch, MLflow) and automation tools (Terraform, Ansible, ServiceNow ITSM).
  • Technical background or strong understanding of software engineering, cloud infrastructure, and DevOps.** **
  • **You will benefit from having the following experience:**
  • Understanding of real-time streaming architectures (Kafka, Flink, Kinesis).
  • Familiarity with cloud-native financial services architectures (AWS, Azure, GCP)

Benefits

  • Health Insurance and Dental Health Cover for you and your dependants
  • Employee Assistance Programme
  • Pension
  • Flexible Hybrid Working
  • Enhanced Parental Leave
  • Travel Insurance
  • Life Assurance
  • Income Protection
  • Referral Bonus
  • Buy and Sell Holiday
  • Training Reimbursement

Job title

Product Manager

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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