5.0 - 9.0 years

0 Lacs

maharashtra

On-site

Join us as an Equity Derivatives Structuring professional at Barclays. Our Equity Derivatives Structuring team is responsible for structured derivatives, working with a diverse range of clients globally. As a team member, your role will involve assisting in pricing and delivering solutions to clients efficiently. Over time, you will develop a deep understanding of various structured products, pricing parameters, risk factors, and sensitivities. You will analyze how trades perform under different market conditions, manage Profit & Loss movements, conduct stress testing, and contribute to pricing strategies for structured products. To excel in this role, you should have experience in: - Running pricing engines using Python to enhance pricing efficiency. - Supporting traders in daily trade activities, such as monitoring the impact of corporate actions on Quantitative Investment Strategy business and updating Profit & Loss for Exotic Options. - Automating Factsheet and MTM reports for routine reporting and analytics. - Providing term sheets and stress tests post-trade execution. - Collaborating with various teams and stakeholders effectively. - Verifying client reports for data accuracy before dissemination. - Communication with global counterparts and infrastructure teams. - Prioritizing tasks and guiding junior team members effectively. Desirable skillsets include: - Proactive issue identification and resolution. - In-depth knowledge of Equity Derivatives and Indices. - Strong analytical and quantitative abilities. - Attention to detail in corporate actions and pricing. - Proficiency in programming languages like Excel/VBA and Python. - Excellent coordination skills for multitasking. - Flexibility to work extended hours. - Outstanding communication skills, both oral and written. - Proactive and self-starting attitude. This position is based in Mumbai and focuses on developing and implementing structured financial products to meet client needs and enhance the bank's market exposure and profitability. Key responsibilities include creating innovative structured products, managing risk associated with structured products, assessing pricing and valuation, and collaborating with various stakeholders for effective product implementation. As an Assistant Vice President, you are expected to lead a team, contribute to policy development, and ensure operational effectiveness. For leadership roles, fostering a conducive working environment, setting objectives, coaching employees, and demonstrating leadership behaviours are crucial. For individual contributors, leading collaborative assignments, guiding team members, and identifying new directions for projects are central to the role. All colleagues are expected to embody Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive. Your role includes managing risk, collaborating with other areas, engaging in complex data analysis, and influencing stakeholders to achieve desired outcomes. Join us at Barclays to make a meaningful impact and drive success in the field of Equity Derivatives Structuring.,

Posted 5 days ago

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Associate Manager, Compliance Analytics Stryker

8.0 - 12.0 years

0 Lacs

haryana

On-site

The Associate Manager, Compliance Analytics supports the development and implementation of compliance analytics across the global compliance organization. You will be responsible for designing and developing analytical solutions, generating insights, and fostering a culture of ethics and integrity. Your role will involve transforming data from multiple systems, designing the analytics approach, and executing the analytics. Your responsibilities will include designing, developing, and maintaining analytics to provide business insights, enabling risk-intelligent decisions, informing compliance risk assessment processes, and supporting remediation activities. You will be involved in scoping, gathering requirements, developing analytics models, validating and testing models, and communicating results to stakeholders for analytics projects. Additionally, you will support the execution of analytics initiatives to enhance the Global Compliance program and provide actionable insights through data and analysis to achieve business objectives. Furthermore, you will contribute to the development of standardized analytics processes and frameworks, including documentation and validation of work. You will also be responsible for setting up sustainable analytics solutions, including data pipelines and automated refresh schedules as necessary. Collaboration with compliance officers, IT, and stakeholders to understand business objectives and provide reliable and accurate reports, insights, and analysis to inform decision-making is an essential aspect of this role. As part of your duties, you will lead a culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training. You will partner with data custodians and process experts to ensure the quality of data and definitions to support the building of reliable data models and analysis. Additionally, coaching and developing junior team members will be a key component of this role. To qualify for this position, you should have 8+ years of relevant work experience in Python, Advanced SQL, R, Azure, Databricks, PySpark, and PowerBI. A strong knowledge and experience in advanced analytics tools and languages to analyze large data sets from multiple sources are required. A BTech in Computer Science, IT, MSc in Mathematics/Statistics, or equivalent courses from an accredited university is necessary. You should possess a strong understanding of algorithms, mathematical models, statistical techniques, data mining, and experience implementing statistical and machine learning models. Experience with analyzing accounting and other financial data, as well as demonstrating excellent ability to exercise discretion and maintain confidentiality, are essential. Knowledge and experience with data transformation and cleansing, data modeling, and database concepts are also preferred.,

Posted 1 week ago

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