Recruitment Strategy and Planning: Develop and implement effective recruitment strategies aligned with the organization's goals and workforce needs. Manage the talent acquisition process, which includes coordinating interview schedules and hiring qualified job applicants to fulfill open positions for both internal projects and client projects. Create annual, quarterly, and monthly recruitment plans. Following SOP for long-term workforce planning is crucial to ensure the organization has the right talent at the right time. Talent Sourcing and Pipeline Building Identify and implement effective channels for sourcing top talent. Build and maintain a strong talent pipeline to meet current and future staffing requirements. Explore innovative sourcing techniques to attract passive candidates. Mentoring a candidate before their official start date (DOJ) - engaging with a prospective employee before their actual date of joining. Quality of Hire Measure the effectiveness of salary negotiations and notice period management as part of the Key Result Area (KRA) for assessing the quality of hires. Implement strategies to improve the quality of candidates selected. Stakeholder Engagement Collaborate with accounts managers/ department heads to understand their talent needs and align recruitment strategies accordingly. Maintain open and effective communication with key stakeholders. Evaluate and manage relationships with external recruitment agencies, suppliers, and other vendors & career site Process Improvement Continuously review and improve the recruitment process for efficiency and effectiveness. Implement best practices and technology solutions to streamline hiring processes. Team Management and Development (depend on interview & experience, if hired for TA Lead) Supervise and mentor a team of talent acquisition professionals. Implement training and development programs to enhance team capabilities. Monitor team performance and provide regular feedback.
Job Summary: We are looking for a skilled Mulesoft Developer to join our dynamic team. The ideal candidate will have extensive experience in developing and integrating solutions using Mulesoft, alongside strong proficiency in JavaScript and SQL. This role involves designing, developing, and implementing APIs and integrations that meet business requirements and contribute to the seamless operation of our IT systems. Key Responsibilities: Design and develop integrations and APIs using Mulesoft Anypoint Platform. Collaborate with cross-functional teams to gather and analyze requirements and translate them into technical designs. Write, test, and maintain efficient and scalable code in JavaScript for various integration scenarios. Work with SQL databases to create, modify, and optimize queries, stored procedures, and database integrations. Debug and troubleshoot integration issues and provide timely solutions. Ensure the security, scalability, and performance of APIs and integrations. Maintain comprehensive documentation for all development and integration work. Stay updated with the latest industry trends, technologies, and best practices in Mulesoft, JavaScript, and SQL. Required Skills: Mulesoft: Strong experience with Mulesoft Anypoint Platform, including API design, development, and management. JavaScript: Proficient in JavaScript, with experience in writing clean, efficient, and maintainable code. SQL: Solid understanding of SQL and experience working with relational databases. Ability to write complex queries and optimize database interactions. Experience with RESTful and SOAP web services. Understanding of API security best practices, including OAuth, JWT, and other authentication mechanisms. Familiarity with CI/CD tools and practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Mulesoft Certification(s) (e.g., Mulesoft Certified Developer). Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of Agile methodologies and experience working in an Agile environment. Education: Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience).
Responsibilities: Develop Chatbots: Design, develop, and implement chatbot solutions using platforms such as Dialogflow, Microsoft Bot Framework, Rasa, or similar tools. API Integration: Integrate chatbots with various APIs and backend services to retrieve and display relevant data. Testing and Debugging: Test chatbot functionality, identify issues, and fix bugs to ensure a seamless user experience. Documentation: Create and maintain clear documentation for chatbot functionalities, workflows, and codebases. User Interaction: Design conversational flows and ensure the chatbot can effectively manage a variety of user queries. Cross-functional Collaboration: Collaborate with design, marketing, and customer support teams to ensure the chatbot aligns with business goals and user needs. Qualifications: Experience with chatbot development platforms such as Dialogflow, Microsoft Bot Framework, or Rasa. Strong skills in API integration. Proficiency in testing and debugging chatbot functionalities. Ability to create conversational flows for effective user interaction. Strong teamwork and communication skills for collaboration with cross-functional teams.
Job Rank: Vice President / Consultant Department: Information Systems Department Section / Function: Murex & Golden Source Projects Travel Required: No Profile Summary : The Program Manager will oversee and manage the end-to-end processes for upgrading and implementing the Murex and Golden Source platforms. This role requires expertise in project management, technical knowledge of financial systems, and the ability to coordinate cross-functional teams to deliver high-quality solutions. The Program Manager will ensure that projects are completed on time, within scope, and within budget while maintaining effective communication with all stakeholders. Duties and Responsibilities: Project Planning & Initiation: - Develop comprehensive project plans outlining scope, objectives, deliverables, timelines, resources, and budgets for Murex and Golden Source upgrades. - Define success criteria, establish stakeholder communication plans, and set clear project milestones. Team Management: - Assemble and lead cross-functional teams, including IT, data management, business representatives, and third-party vendors. - Assign roles and responsibilities, facilitate regular meetings, and ensure effective team collaboration. Risk & Issue Management: - Identify potential risks and develop mitigation strategies for both Murex and Golden Source projects. - Monitor and manage risks and issues throughout the project lifecycle, implementing contingency plans as needed. Resource & Budget Management: - Manage project budgets and ensure that costs remain within approved limits. - Allocate resources effectively and ensure that projects are adequately staffed. Stakeholder Communication: - Maintain clear and consistent communication with all stakeholders, providing regular updates on project status, risks, and issues. - Manage stakeholder expectations and address concerns promptly. System Upgrade & Coordination: - Work with technical teams and vendors to ensure upgrades are designed, developed, tested, and implemented according to specifications. - Oversee data migration activities, ensuring data integrity and accuracy. - Coordinate with vendors and third-party service providers for both Murex and Golden Source systems. Quality Assurance & Testing: - Develop and execute testing strategies, including unit testing, integration testing, and user acceptance testing (UAT). - Ensure upgraded systems meet functional and non-functional requirements and address any issues identified during testing. Change Management: - Develop and implement change management plans to ensure smooth adoption of upgraded systems. - Provide training and support to end-users and manage communications related to changes. Project Execution & Monitoring: - Track project progress against plans and adjust as necessary to stay on schedule. - Use project management tools to monitor performance, manage tasks, and report on progress. Project Closure: - Ensure all deliverables are completed to satisfaction and transition systems to operational teams for ongoing maintenance and support. - Conduct post-implementation reviews to capture lessons learned and ensure continuous improvement. Qualifications, Skills, and Experience: - Experience: - Extensive experience (typically 10+ years) in project management with a track record of managing large-scale IT projects, especially within financial services. - Proven experience with Murex and reference data systems or similar platforms. - Technical Skills: - In-depth knowledge of Murex platform, Golden Source capabilities, and related financial systems. - Proficiency in Jira and Confluence. - Strong understanding of capital markets, trading, risk management, and financial products. - Familiarity with software development life cycle (SDLC), ITIL processes, and change management practices. - Leadership & Management Skills: - Exceptional leadership and team management abilities. - Strong organizational and time-management skills. - Ability to motivate and empower team members. - Communication Skills: - Excellent verbal and written communication skills. - Ability to articulate complex technical concepts to non-technical stakeholders. - Strong negotiation and conflict resolution skills. - Problem-Solving Skills : - Ability to think critically and solve complex problems in high-pressure situations. - Proactive approach to addressing issues and challenges. Supervisory / Managerial Skills: - Maintain transparent communication and provide clear direction to the team. - Foster teamwork and cohesiveness across the team. - Empower team members to take responsibility for their goals and tasks. - Make informed decisions to delegate tasks efficiently and maintain high standards. Overall Statement of Responsibility: All employees, regardless of seniority, are responsible for ensuring clear and appropriate reporting lines and effective delegation of duties, subject to suitable supervision and monitoring. Regulatory Responsibilities: - Compliance with the Code of Conduct and First Tier Individual Conduct Rules as detailed in the Employee Handbook and Compliance Manual. - Report any suspected or actual breaches of Conduct Rules to Compliance. - Achieve and maintain a sufficient level of competence and professional development in relevant areas of expertise.
About the Role We're seeking a talented and strategic Digital Marketing Lead to spearhead our content and SEO initiatives. As a key member of our team, you'll be responsible for driving organic traffic, building brand awareness, and generating leads through compelling content and optimized online presence. Responsibilities SEO Expertise: Deep understanding of SEO principles, keyword research, on-page optimization, link building, and technical SEO. Content Creation: Ability to create high-quality, engaging content that aligns with the brand voice and target audience. Analytics and Optimization: Skill in monitoring website performance metrics and implementing data-driven optimizations. Content Marketing Strategy: Experience in planning and executing content marketing campaigns to drive traffic, generate leads, and nurture relationships with the target audience. Cross-Functional Collaboration: Ability to work effectively with teams across the organization. Industry Knowledge: Stay updated on the latest SEO trends and best practices. Qualifications Bachelor's degree in marketing, Communications, or related field 4-5 years of experience in digital marketing with a strong focus on content and SEO Proven track record of driving organic traffic, improving search engine rankings, and generating leads Deep understanding of SEO principles and best practices Excellent writing and editing skills Experience with content management systems (CMS) and SEO tools Excellent communication and interpersonal skills Strong analytical skills and ability to interpret data Passion for content creation and storytelling Passionate, go-getter with an out-of-the-box thinking mindset Self-starter with a strong work ethic and ability to work independently
We are looking for an AI & Machine Learning Lead Engineer to lead the development and deployment of advanced AI and machine learning models. The ideal candidate will have a strong background in precision learning, large language models (LLMs), retrieval-augmented generation (RAG), natural language processing (NLP), and statistical methods for output analysis. This role involves leading a team of engineers and data scientists, setting strategic directions for AI/ML initiatives, and ensuring the delivery of impactful solutions that align with our business objectives. Key Responsibilities: Leadership and Strategy: Lead and manage a team of AI and machine learning engineers, providing technical guidance and mentorship. Oversee the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. Develop and drive the AI/ML strategy, aligning it with overall business goals. Collaborate with cross-functional teams, including data engineering, product management, and software development, to integrate ML models into production environments. Precision Learning and Large Language Models (LLMs): Design, develop, and optimize precision learning algorithms for specific business applications. Lead efforts in developing, fine-tuning, and deploying large language models (LLMs) to address various use cases such as text generation, summarization, translation, and conversational AI. Retrieval-Augmented Generation (RAG): Implement and optimize RAG systems to improve the performance and accuracy of AI solutions. Develop retrieval strategies that effectively integrate large-scale knowledge bases with LLMs to generate more accurate and contextually relevant outputs. Natural Language Processing (NLP): Develop and implement NLP models for tasks such as text classification, sentiment analysis, named entity recognition, summarization, and question-answering. Stay current with NLP research trends and advancements, implementing best practices to enhance model efficiency and performance. Output Analysis through Statistical Methods: Analyse model outputs using advanced statistical methods to ensure reliability, accuracy, and explainability. Implement A/B testing, hypothesis testing, and other statistical techniques to validate model performance and derive actionable insights. Research and Development: Stay abreast of the latest research in machine learning, deep learning, and AI. Propose and implement novel approaches to solve challenging problems. Collaborate with academic and research institutions to contribute to the machine learning community through publications, open-source projects, and conferences MLOps and Model Deployment: Collaborate with DevOps and data engineering teams to implement MLOps practices for CI/CD pipelines, model monitoring, and governance. Ensure scalable deployment of AI/ML models on cloud platforms (AWS, GCP, Azure) or on-premises environments. Mentorship and Team Leadership: Mentor and guide a team of machine learning engineers and data scientists, fostering a culture of continuous learning and innovation. Conduct regular code reviews, provide constructive feedback, and ensure adherence to best practices in machine learning. Required Qualifications: 8-10 years Experience with Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; PhD is a plus. 5+ years of experience in machine learning and AI, with a strong focus on NLP, LLMs, RAG, and precision learning. Proven track record of leading AI/ML teams and projects from conception to deployment. Expertise in Python and relevant ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Strong understanding of NLP techniques, including transformer architectures (e.g., BERT, GPT). Experience in RAG techniques, knowledge retrieval systems, and integrating LLMs with external data sources. Proficiency in statistical analysis and hypothesis testing, with a strong foundation in experimental design. Excellent problem-solving skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with cloud services (AWS, GCP, Azure) for model deployment and scaling. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines for ML. Knowledge of advanced AI techniques such as reinforcement learning, meta-learning, and unsupervised learning. Strong publication record or contributions to the AI/ML community.
You will be responsible for driving SaaS, product, and B2B sales through effective day-to-day channel partner management. This includes aligning product features with business benefits, configuring solutions for end clients, and identifying qualified sales opportunities. You will also secure meetings for Regional Sales Managers with potential partners. Must-have: A minimum of 2-3 years of experience in the IT/SaaS industry in a partnerships or strategic alliances role. Roles & Responsibilities Identify and evaluate potential organizations for strategic partnerships with LatentBridge. Establish, manage, and enable partnerships that effectively generate client referrals to LatentBridge. Nurture partner relationships throughout their entire lifecycle to ensure continued collaboration and value. Plan, execute, and optimize co-marketing initiatives such as webinars, events, email campaigns, and content sharing. Collaborate closely with marketing, sales, and delivery teams to drive channel and referral growth. (Good to have) Manage and maintain the partnerships' P&L to monitor performance and profitability. Identify, recruit, and manage channel partners to drive business growth. Onboard new partners and ensure quick ramp-up on products and solutions. Develop business opportunities with new and existing partners. Understand customer requirements and align appropriate solutions through partners. Drive product sales, particularly in automation and SaaS-based solutions. Collaborate with marketing, technical, and product teams to support campaigns and launches. Monitor the sales pipeline, track KPIs, and ensure consistent lead generation. Visit partners periodically to maintain strong, results-driven relationships. Analyze competition and contribute to effective sales strategies. Support the end-to-end sales cycle including planning, execution, and performance tracking. Requirements: Proven experience in channel management and B2B product sales. Experience in SaaS sales and a good understanding of automation technologies is preferred. Strong technical aptitude with the ability to understand and position solutions effectively. Proficient in MS Office (Outlook, Word, Excel); fluent in spoken and written English. Excellent communication, interpersonal, and organizational skills. Customer-focused, solutions-oriented, and highly self-driven. Flexible and professional approach to working across teams and taking on additional responsibilities when required.
Role & responsibilities Develop and maintain the enterprise architecture blueprint for our clients Create comprehensive rationalization and modernization roadmaps for applications Build business cases for transformation and optimization initiatives with clear ROI metrics Define technology standards, patterns, and governance frameworks Ensure architectural solutions meet security and compliance requirements Provide architectural oversight for critical operations and customer experience initiatives Collaborate with business stakeholders to understand strategic objectives and translate them into technical requirements Guide technology investment decisions to ensure alignment with long-term architectural sustainability Mentor and provide guidance to technical teams on architectural principles and standards Required Qualifications Bachelor's degree in Computer Science, Information Technology, or related field 10+ years of experience in enterprise architecture, systems integration, or technology strategy 5+ years of experience in banking/financial services technology environments Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman) Experience in application portfolio management and optimization Proven track record in developing technology roadmaps and transformation strategies Understanding of banking systems, digital banking capabilities, and fintech innovations Experience with cloud architecture, API strategies, and integration patterns Strong communication skills with ability to translate complex technical concepts to business stakeholders Preferred Qualifications Master's degree in Business Administration, Information Systems, or related field Enterprise Architecture certification (TOGAF, Zachman) Knowledge of emerging technologies (AI/ML, blockchain, cloud-native applications) Experience leading digital transformation initiatives in financial institutions Project/program management certification (PMP, Prince2) Key Success Factors Ability to balance tactical solutions with strategic architectural vision Strong leadership and influencing skills across organizational boundaries Excellent problem-solving abilities and analytical thinking Business acumen with focus on delivering tangible business value Collaborative approach with technical and business stakeholders Must Have Skills Enterprise architecture experience (minimum 10 years) Banking/financial services technology experience (minimum 5 years) Knowledge of enterprise architecture frameworks (TOGAF, Zachman) Application portfolio assessment and rationalization expertise Optimization and modernization experience Business case development for technology initiatives Technology roadmap development experience Strong stakeholder management and communication skills Security and compliance requirements understanding in financial services Solution architecture experience Technical documentation capabilities Strategic planning and execution experience Change management expertise Preferred candidate profile Enterprise Architecture certification (TOGAF, Zachman) Cloud architecture and migration planning experience API strategy and integration patterns knowledge Master's degree in Business Administration, Information Systems, or related field Experience with emerging technologies (AI/ML, blockchain, cloud-native applications) Project/program management certification (PMP, Prince2) Digital transformation leadership experience Fintech integration experience Data architecture and governance expertise Experience with microservices architecture DevOps and CI/CD knowledge Agile methodologies experience
Lead the development and maintenance of Python-based AI/ML applications (Python 3.10+). Design, build, and deploy machine learning models using open-source frameworks, especially those hosted on platforms like Hugging Face. Work with Large Language Models (LLMs) and contribute to fine-tuning and custom model training efforts. Architect and implement cloud-native AI/ML solutions on AWS or Azure, covering compute, storage, and deployment services. Enhance performance and accuracy of search systems using Vector Databases and advanced Search Optimization techniques. Develop NLP solutions using libraries such as NLTK, SpaCy, and related frameworks. Optional but preferred: Experience with tools such as LangChain, LLamaIndex, Semantic Kernel, or Dspy. Apply MLOps best practices for model lifecycle management, including versioning, deployment, and monitoring. Collaborate with data engineering teams to prepare and manage datasets for training and inference.