EY

Risk Asset Tech Lead

EY

full-time

Posted on:

Location Type: Office

Location: Bengaluru • India

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Job Level

Senior

Tech Stack

AngularAWSAzureCloudDjangoGoogle Cloud PlatformJavaScriptMicroservicesMongoDBNode.jsNoSQLPostgresPythonReactSQLVBA

About the role

  • Product Design and hands-on Development
  • Use working experience to amend design (commensurate to functional specifications) and demonstrate hands-on development of product features, with utmost efficiency and optimization of source code
  • Wherever needed, challenge status quo for tech stacks, API choices to include most efficient industry practices, balancing the time to market for the product at hand
  • Coach and mentor team members technically as needed (including performing code reviews)
  • Demonstrate the right-ways of development in all facets of software development (Front end, Back end, APIs , Data layers, 3rd party integrations and AI models) (Lead with Walk the Talk mindset)
  • Map functional specifications to product features to ensure coverage and accuracy of product
  • Demonstrate critical thinking, strong communication, logical reasoning and technical convincing as needed
  • Perform Techno-functional Testing (QA) for product features getting implemented as per the functional specifications
  • Automate testing wherever possible using most feasible approaches (Excel/ VBA or Python or any available tool/s)
  • Partner with architects and application teams for secure solution delivery.
  • Provide functional support to all phases of delivery (Sprints, Testing, Hypercare etc.)
  • Ability to guide and coach junior TAs and testers in the team

Requirements

  • 7-12 years Technical source code development experience, with right mix of design leadership, hands on development and overall technical leadership
  • Working experience in Any facet in Risk Domain (Enterprise Risk, Operational Risk, Internal Controls, Internal Audit, Third Party Risk etc. – any segment in Risk domain)
  • Back end (Python primary) including API creation (Django or Fast API) , microservices and data integration, Data Structures and Algorithms
  • Cloud and Devops : Working knowledge of deploying applications in cloud infrastructure (Azure or AWS or GCP) and implement CI/CD pipelines, with version control (Git)
  • Python driven Machine Learning model implementation (ML Ops) and AI model ops
  • Databases like SQL (PostgreSQL) and/or NoSQL (MongoDB)
  • Good to have: Front end (Either of – Angular, or React or similar) MEAN or MERN stack exposure
  • Node js Exposure
  • BI platforms (PowerBI or alike)
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonDjangoFast APImicroservicesdata integrationData StructuresAlgorithmsMachine LearningAI model opsSQL
Soft skills
critical thinkingstrong communicationlogical reasoningtechnical convincingcoachingmentoring