1.0 - 5.0 years

0 Lacs

noida, uttar pradesh

On-site

As a Product Manager - Enterprise AI, you will play a crucial role in leading the transformation by defining and delivering AI tools that enhance voice intelligence, agent copilots, decision support systems, and risk engines. Your focus will be on supercharging our teams and establishing a new benchmark in fintech productivity. Your responsibilities will include defining the product vision and roadmap for our internal GenAI suite, which comprises voice copilots, risk intelligence agents, ops automation tools, regulatory AI assistants, and more. You will lead cross-functional teams to develop AI-powered workflows that reduce turnaround time, increase productivity, and enhance accuracy. Additionally, you will be responsible for making build vs. buy decisions utilizing vendors like OpenAI, Whisper, AssemblyAI, LangChain, among others. In this role, you will work hands-on with various AI technologies such as LLMs, embeddings, RAG pipelines, vector databases, and prompt tuning. It will be essential to design with explainability, fallback logic, and hallucination control as defaults. Monitoring success metrics like adoption rates, efficiency gains, and time saved will be crucial, and you will iterate quickly based on feedback to drive continuous improvement. Ensuring full alignment with regulatory bodies and internal compliance when deploying GenAI systems in critical workflows will be a key aspect of your role. You will also be responsible for maintaining cybersecurity standards as an integral part of product development, ensuring that products are built with security in mind from the outset. To be successful in this role, you should have at least 4+ years of product management experience, with at least 1 year in GenAI/ML/NLP-focused roles. A background in fintech, particularly in lending, collections, KYC, or regulatory operations, will be advantageous. A strong understanding of GenAI architecture, technical education background (in CS, Engineering, Data Science, or Applied Math), and experience working with data scientists, backend engineers, and legal/compliance teams are essential. An analytical mindset, the ability to define product KPIs, track outcomes, and excellent communication and stakeholder management skills are also crucial for excelling in this role.,

Posted 1 month ago

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Head of Traded Risk Models Barclays

7.0 - 11.0 years

0 Lacs

maharashtra

On-site

You will be responsible for participating in the development and maintenance of regulatory and internal risk models such as IMM, VaR, IRC, CRM, and Regulatory CVA. Your tasks will include theoretical modeling, empirical testing, historical back-testing, statistical analysis of market data, numerical implementations, model documentation, supporting risk applications, and providing analytical assistance to Risk Managers. In addition, you will be managing a local team to ensure smooth integration and strong cross-regional engagement with global teams. Your key accountabilities will involve applying cutting-edge quantitative risk methodologies to enhance Market and Counterparty credit risk monitoring, developing computational methods and mathematical models, researching and implementing quantitative solutions for financial product pricing and risk management, performing computations and assessing numerical implementations, validating pricing models, implementing analytics models within Python library, building optimization tools, defining data requirements, and collaborating effectively with colleagues across different time zones. You must possess strong communication and presentation skills to effectively engage with stakeholders and colleagues. Your decision-making and problem-solving abilities will be crucial in evaluating alternatives, making decisions about the best approach, and achieving consensus. As a quantitative analyst, you will need to be a strong leader, excellent communicator, team player, and creative thinker. Essential qualifications for this role include a Masters degree, PhD, or foreign equivalents in Mathematics, Computer Science, Physics, Statistics, or a related quantitative field, along with 7-10 years of experience in a financial quantitative analyst or financial software developer/engineer role. Desirable skills include experience in counterparty/market risk development, knowledge of financial products, analytic skills, programming skills, and familiarity with VaR-type models, statistics, and pricing models. Your main purpose will be to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics for business decision-making. Collaborating with technology, developing high-performing analytics solutions, implementing models, providing ongoing support, and ensuring compliance with risk management policies are some of the key responsibilities associated with this role. As a Director, you will manage a business function, contribute to strategic initiatives, lead a team, provide expert advice, manage resourcing and budgeting, escalate policy breaches, ensure compliance, and focus on external relationships. Your leadership behaviors will be crucial in creating an environment for colleagues to excel, following the LEAD principles of Listening, Energizing, Aligning, and Developing others. Demonstrating Barclays Values and Mindset will also be expected from all team members.,

Posted 2 months ago

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