Jobs at CodeNinja Inc.

Lead pre-sales solution architecture and Well-Architected reviews, deliver hands-on engineering contributions, define reusable cloud reference architectures and landing zones, mentor cloud engineers, own technical evidence for AI/service delivery designations, and grow the practice into a people-led team.

Manage end-to-end recruitment for IT roles: partner with hiring managers, source candidates via multiple channels, screen and interview, maintain ATS records, coordinate interviews, and ensure a positive candidate experience while building talent pipelines with universities and organizations.

Leads the full Personal Finance unsecured lending portfolio for a retail banking client, owning product proposition, pricing, P&L, growth, acquisition, risk-adjusted performance, digital lending journeys, lifecycle management, compliance, and team development. Partners with Credit, Risk, Compliance, Digital, and Operations to optimize eligibility, decisioning, fulfillment, servicing, retention, cross-sell, and portfolio profitability.

Leads end-to-end customer segmentation strategy and analytics, including behavioral profiling, value-based segmentation, lifecycle analysis, BI reporting, and model refinement. Translates customer insights into targeted propositions and partners with marketing, product, and pricing teams to improve acquisition, engagement, retention, and pricing. Presents findings to senior stakeholders and drives commercially impactful, data-informed decisions.

Leads customer value management and segmentation strategy across acquisition, cross-sell, retention, and win-back. Owns pricing, offers, incentives, campaign experimentation, KPI tracking, and revenue optimization. Partners with Marketing, Data, Product, and Finance while presenting strategy to senior stakeholders and leading CVM execution teams.

Build and maintain customer segmentation models, analyze customer behavior and profiles, create campaign audience lists, evaluate campaign performance, and develop BI dashboards for CVM metrics and KPIs. The role translates customer data into commercial targeting recommendations and refines segmentation frameworks through collaboration with marketing, BI, and product teams.

Develops implementation-ready business requirements documents and user stories for a retail banking transformation. Elicits and analyzes customer engagement requirements across CRM, campaigns, notifications, loyalty, personalization, digital servicing, channels, data, and integrations. Identifies gaps, challenges ambiguity, aligns Business, Digital, and Technology stakeholders, supports solution design, and validates delivered functionality against requirements.

Leads the retail liabilities business, owning P&L, deposit growth, CASA optimization, pricing, cost of funds, and product strategy across deposits and investment/bancassurance offerings. Partners with Treasury and ALM on funding and liquidity management, ensures Sharia compliance, launches propositions, monitors market trends, and leads product and sales teams. Requires extensive banking leadership experience and strong expertise in liabilities, ALM, pricing, CASA growth, and P&L ownership.

Owns retail banking liability products, including CASA and deposit proposition design, pricing strategy, cost of funds analysis, portfolio performance monitoring, customer acquisition and retention, and full product lifecycle management. Collaborates with product, pricing, treasury, and ALM teams on deposit mix optimization and supports Sharia-compliant deposit structures for banking clients in the KSA market.

Designs, implements, and maintains automated testing frameworks for web, mobile, API, and backend systems. Develops Selenium, Appium, and REST Assured tests; validates Kafka events and database data; analyzes logs; and integrates automation into CI/CD pipelines. The role supports functional, regression, integration, smoke, and end-to-end testing, collaborates with development and DevOps teams, improves test stability, contributes to QA strategy, and mentors junior engineers.

Design, develop, and deploy machine-learning and time-series forecasting solutions. Perform feature engineering, model validation, backtesting, and production monitoring. Build scalable data pipelines, dashboards, and collaborate with stakeholders while mentoring junior team members.

Lead design and delivery of production-grade time-series forecasting for financial use cases: architect pipelines, develop and benchmark classical and ML models, implement time-aware validation and Bayesian tuning, perform backtesting, quantify uncertainty, deploy and monitor models with MLOps, build dashboards, and mentor junior engineers while collaborating with finance and risk stakeholders.

The Account Executive will engage with enterprise customers, manage key account relationships, develop business cases, and collaborate with internal teams to deliver AI solutions.

Be the on-camera face for short-form B2B videos (45-90s): convert long-form assets into scripts, plan and shoot weekly with the video editor, rough-cut clips, and contribute original platform-tailored short-form ideas tied to campaign sprints.