Personal Assistant to the Deputy CEO (PASHA Financial Holding)

PASHA Holding invites experienced candidates to fill the position of Strategy and Performance Lead. Job description: Performance Management Deep dive and provide recommendations on enhancement of periodic performance reports by companies for business performance platforms, consolidating major business aspects, variance analyses, insights and actionable recommendations for the Director's and Management’s awareness and decision-making on business performance and strategy execution. Benchmarking and Analytics Conduct regular benchmarking and peer analyses to figure out potential areas for improvement and make data driven suggestions. Perform special analyses and develop insights and recommendations in specific business areas. Strategy Formulation Lead strategy formulation process of assigned companies in close collaboration with Portfolio Strategy and Capital allocation team, fostering a clear understanding of strategic priorities and expectations and translating Group priorities into company objectives and strategies. Facilitate and run business benchmarking, aspirations setting, ideation, market analyses and financial modelling exercises with companies, ensuring timely and regular updates to and decisions from Supervisory Boards. Operating Company Budgeting Lead the annual budgeting process of assigned companies in close collaboration with Portfolio Strategy and Capital allocation team, ensuring timely and qualitative preparation of budgets aligned with strategic objectives and operating business environment. Strategic and annual business targets setting Lead effective KPI setting process for Operating Companies, fostering business performance and execution of strategies. Develop suitable metrics for measurement of annual and strategic objectives, along with simulated expected results, weights and ranges and be prepared for discussions with key stakeholders among PASHA Financial Holding and companies leadership. Crisis Interventions Monitor the execution of strategic plans and budgets, raise awareness and initiate discussions with Director and companies, when performance fall apart enabling timely interventions. Conduct crisis interventions (e.g., significant deviations from targets) upon request of the Supervisory Board. Committees and SB Contribution Actively participate and share expertise in relevant board committees as part of business performance management (Credit, Investment, Risk, Strategy & Performance Committees) and maintain awareness on business decisions through presence on Supervisory Boards. Experience, Competencies and Skills Required: Bachelor’s degree in Finance, Business Administration, Economics, or related field. MBA or other advanced degree is an advantage. Progress toward CFA and/or FRM certification is highly preferred. Strong financial analysis and risk assessment skills. Advanced analytical and problem-solving capabilities. Excellent presentation and communication skills. Proven experience in strategy development and performance management within banking, insurance, or fintech sectors. Strong MS Office skills (Excel, PowerPoint, Word). Fluency in English and Azerbaijani is required; Russian or Turkish is an advantage. Minimum 5 years of experience in banking, insurance, or advisory (financial sector exposure is mandatory). Demonstrated experience in strategy formulation and business performance management. Strong understanding of market dynamics and regulatory environments. How to apply: Interested candidates can apply by clicking the link provided in the "Apply" button. Attention: The candidates will go through initial CV screening review. Those candidates ONLY who succeed based on CV screening will be contacted via email and/or phone and will be invited to interview.

Job description: Group-Level Product Ownership Own the full lifecycle of Group AI platforms from intake to deployment and optimization. Define and maintain roadmaps for AI Gateway, Marketplace, Workbench in alignment with the Group AI strategy. Ensure model-agnostic, scalable, and secure product architecture across all platform products. Cross-Entity Requirement Consolidation Collect and structure requirements from multiple Strategic Assets (PASHA Bank, PASHA Life, PASHA Insurance, Bir Ecosystem). Consolidate cross-entity needs into unified, reusable platform capabilities that prevent duplication. Drive Marketplace-driven reuse and standardized component adoption across the Group. Backlog & Delivery Governance Manage Group-level product backlog and prioritize platform evolution based on strategic impact and business value. Define acceptance criteria, release standards, interoperability requirements, and quality gates for all platform releases. Oversee testing, validation, and release planning in close collaboration with AI Engineering teams. Adoption & Value Realization Develop go-to-market and enablement strategies for platform rollout across Strategic Assets. Track KPIs including adoption, engagement, ROI, and efficiency gains across all platform products. Act as the central interface between OpCos and AI Engineering teams, ensuring transparent communication and feedback loops. Experience, Competencies and Skills Required: 8+ years of experience in product management, preferably in platform or enterprise software. Experience managing multi-stakeholder environments across business units or entities. Strong understanding of AI platforms, APIs, orchestration layers, or developer ecosystems. Experience in regulated industries preferred (financial services, insurance, fintech). Demonstrated ability to manage both strategic roadmap and operational execution simultaneously. Excellent communication and stakeholder management skills. How to apply: Interested candidates can apply by clicking the link provided in the "Apply" button. Attention: The candidates will go through initial CV screening review. Those candidates ONLY who succeeds based on CV screening will be contacted via email and/or phone and will be invited to interview

PASHA Holding invites experienced candidates to fill the position of Data Scientist. Job description: Design and develop generative AI infrastructure, including LLM deployment pipelines, vector databases, APIs, and agent orchestration frameworks — used in real-world GenAI platforms such as OpenClaw Build LLM-powered applications such as chatbots, document processing systems, content generation tools, and intelligent assistants Design, implement, and maintain retrieval-augmented generation (RAG) pipelines, knowledge bases, and data ingestion workflows Apply prompt engineering, fine-tuning, and model selection techniques to optimize performance, cost, and latency Deploy, monitor, and evaluate production-grade GenAI solutions using LLMOps best practices (evaluation, prompt versioning, guardrails) Ensure security, scalability, reliability, and responsible AI compliance across all AI deployments Design and implement AI agents and multi-agent systems for workflow automation and decision support Collaborate with business, product, and engineering teams across subsidiaries to identify and deliver AI use cases Translate technical AI capabilities into actionable insights for stakeholders and leadership Track advancements in generative AI and integrate relevant innovations into business solutions Contribute to AI transformation initiatives and internal knowledge-sharing activities Experience, Competencies and Skills Required: 2–5 years of experience in data science, machine learning, or applied AI, with strong Python skills and hands-on experience in large language models, prompt engineering, and retrieval-augmented generation (RAG) Experience with GenAI frameworks, API development, vector databases, and cloud AI platforms is required Familiarity with structured and unstructured data, text and document processing, embeddings, AI agents, and standard development tools such as Git/GitHub and Jupyter Notebooks is expected Fluency in Azerbaijani and English is required How to apply: Interested candidates can apply by clicking the link provided in the "Apply" button. Attention: The candidates will go through initial CV screening review. Those candidates ONLY who succeeds based on CV screening will be contacted via email and/or phone and will be invited to interview.