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Weekday AI

Proactive software engineer recruitment via referrals

Director Trade Surveillance Technology

Engineering LeadershipPosted on Nov 12
Full-timeRemote in India₹9M - ₹20MRemote

About the Job

Requirements

  • Proven senior technology leadership experience in setting enterprise technology strategy and delivering large-scale transformation programmes.
  • Strong experience leading modern engineering organisations and building secure, resilient, scalable, and observable technology platforms.
  • Demonstrated expertise in product-led platform strategy, data transformation, artificial intelligence adoption, and advanced analytics.
  • Strong understanding of modern engineering practices, including DevSecOps, continuous integration and continuous delivery, Site Reliability Engineering, automated testing, secure-by-design delivery, and platform observability.
  • Experience leading complex technology transformation, data modernisation, and cloud modernisation programmes.
  • Ability to operate effectively in highly regulated environments with strong governance, risk management, and control disciplines.
  • Strong understanding of financial services, particularly compliance, regulatory, legal, or investment banking operations.
  • Knowledge of financial instruments, front-office processes, risk and compliance operations, and regulatory control frameworks.
  • Experience within financial services, particularly compliance, regulatory, legal, capital markets, or investment banking environments.
  • Exposure to trade surveillance, control room, electronic communications surveillance, anti-financial crime, or other compliance technology platforms.
  • Experience engaging with regulators, internal or external auditors, and legal counsel.
  • Architecture experience across data, artificial intelligence, cloud, or enterprise compliance platforms.
  • A degree in Science, Technology, or a related discipline, or equivalent senior leadership experience.

Responsibilities

  • Define and execute the technology strategy and roadmap for Compliance Technology platforms across trade surveillance, governance, risk and control, and data domains.
  • Establish India as a strategic Compliance Technology capability centre, delivering resilient, regulatory-grade platforms through strong engineering, product, data, controls, and talent leadership.
  • Oversee the design, development, delivery, and operations of enterprise compliance and surveillance applications.
  • Partner with business and technology leadership to translate regulatory developments, market trends, technology opportunities, and organisational priorities into actionable technology roadmaps.
  • Drive a product-centric operating model focused on platform ownership, continuous improvement, and measurable business outcomes.
  • Drive engineering excellence by embedding DevSecOps, continuous integration and continuous delivery, automated testing, secure-by-design development, platform observability, and modern delivery practices.
  • Ensure critical compliance platforms meet high standards of availability, resilience, disaster recovery, failover, and Site Reliability Engineering.
  • Lead large-scale technology transformation, modernisation, and data/cloud initiatives.
  • Establish strong engineering governance and operational controls across technology platforms.
  • Manage technology delivery risks, dependencies, budgets, and resource allocation while balancing immediate business requirements with long-term strategic priorities.
  • Own and drive the data, artificial intelligence, automation, and advanced analytics strategy across Compliance Technology.
  • Accelerate the adoption of artificial intelligence and Generative AI, real-time analytics, and event-driven data architectures to improve surveillance effectiveness and operational efficiency.
  • Identify opportunities to improve signal quality, reduce false positives, and enable proactive monitoring through advanced technology capabilities.
  • Act as a strategic advisor to senior Compliance and Technology leadership on artificial intelligence adoption, data strategy, and platform transformation.
  • Ensure responsible and risk-informed artificial intelligence adoption, with appropriate model governance, transparency, auditability, and regulatory compliance.
  • Partner with Compliance leaders to align technology priorities with regulatory expectations and business requirements.
  • Oversee technology responses to regulatory incidents, surveillance breaches, audit findings, and control-related issues.
  • Ensure all technology activities comply with applicable regulatory requirements, enterprise-wide risk management frameworks, and internal policies.
  • Balance innovation and transformation with cyber security, operational resilience, auditability, and regulatory obligations.
  • Engage with regulators, internal and external auditors, and legal counsel where required.
  • Build and maintain senior stakeholder relationships across global Compliance and Technology functions.
  • Engage regularly with MD- and C-suite-level stakeholders to align technology strategy, transformation priorities, and business outcomes.
  • Support senior management committees, transformation forums, programme reviews, and bank-wide technology initiatives.
  • Manage strategic technology service providers and vendors to ensure effective delivery, platform resilience, and transformation outcomes.
  • Facilitate collaboration across business, engineering, data, infrastructure, information security, and compliance teams.
  • Build a future-ready workforce aligned with evolving artificial intelligence, data, cloud, and engineering skill requirements.
  • Lead, develop, and mentor high-performing teams, fostering accountability, innovation, and continuous learning.
  • Establish a collaborative culture that encourages knowledge sharing and the adoption of engineering best practices.
  • Drive talent development, workforce planning, and capability building to support long-term organisational objectives.

Desired Qualifications

  • Product-led platform strategy.
  • Automation.
  • Advanced analytics.
  • Artificial intelligence and data strategy.
  • Cloud and data architecture.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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