דרושים Director Data Platform Engineering Analytics Insights ב-גיי פי מורגן ב-India, Maharashtra, Mumbai

Job Summary

As a Systematic Portfolio Manager, you will participate in managing our existing passive and active systematic separate accounts and ETFs, while playing a crucial role in developing new strategies and supporting the rollout of our active ETF platform. Your responsibilities will include driving the integration of portfolio optimization tools into the investment process, ensuring their seamless incorporation into the broader GFICC business.

Job Responsibilities

• Manage passive and active Systematic Fixed Income strategies, with a focus on portfolio management, continuous monitoring, and the development of new strategies.
• Collaborate with the Quantitative Research team to refine portfolio construction techniques and enhance existing systematic fixed income strategies.
• Integrate and improve the portfolio optimization framework, working with the dedicated tech team for further advancements.
• Monitor client portfolios to ensure they align with investment strategies and client guidelines.
• Work with the platform's sector specialists to integrate their expertise into systematic portfolios.
• Engage with clients on bespoke research for systematic investment solutions, communicate performance, and pursue new business opportunities.
• Work with asset management teams, including distribution and product development, to articulate key investment capabilities and design tailored solutions.

Required qualifications, capabilities and skills

• Extensive experience in Fixed Income portfolio management
• Bachelor's degree in Statistics, Economics, Finance, or a related scientific discipline.
• Strong knowledge of public fixed income markets, including credit, interest rates, or structured finance.
• Proven ability to work effectively in a team-oriented setting and manage multiple tasks simultaneously.
• Strong technical, analytical, and complex problem-solving skills, with attention to detail in a fast-paced environment.
• Demonstrates drive, determination, and a results-oriented work ethic, thriving in a team-based, collaborative environment with excellent communication and relationship skills.
• Strong data and analytical skills, with proficiency in Excel and Python.

Preferred qualifications, capabilities and skills

• Experience with portfolio optimization and managing ETFs
• CFA designation is a plus.
• Experience executing portfolio trades and derivatives expertise.

As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods.

Job Responsibilities:

• Uncover novel use cases of Big Data analytics for the Credit Card business.
• Drive data science/AIML use case development supporting the Card business.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of the problem domain and available data assets.
• Research, design, implement, and evaluate analytical approaches and models.
• Perform ad-hoc exploratory statistics, data mining, and model testing.
• Investigate data visualization techniques for conveying key findings.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Demonstrated intellectual curiosity for solving business problems.
• Excellent leadership, consultative partnering, and collaboration skills.
• Knowledge of statistical software packages (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
• Experience with modern data science tools (e.g., OpenAI, SQL, Spark, Python).

Preferred Qualifications, Capabilities, and Skills:

• Understanding of key drivers within the credit card P&L.
• Financial services background preferred.
• M.S. equivalent preferred.

As a Risk Management - Risk Oversight Lead for Commerce Payments - Vice President in the Consumer & Business Banking Risk Management group, you will be responsible for partnering with the Digital Payments teams and recommending the right level of fraud and scam controls for new business initiatives and existing processes in Card Payments. Features like digital wallets; co-brand cards; etc. are carefully evaluated for risk. You will be a key contributor to the Risk Oversight team's 2nd line mission by collaborating on the design of products and features that are both easy-to-use and secure for customers. You will also partner closely with Legal, Compliance and Controls to advise on issues and concerns, as well as conduct threat assessments that describe key risk scenarios and necessary mitigation to the risks.

Job Responsibilities

• Look for ways payment use cases can potentially facilitate fraud and scam scenarios, as well as operational and reputational risk
• Evaluate new payment features or modifications to existing services to ensure that the Product team has identified all the risks and has included appropriate controls to mitigate risks
• Know the wallet payment flows you oversee just as well as the Product team
• Have a working knowledge of cross-channel controls that are used to mitigate inherent risk in Digital
• Reliably represent the interests of other internal stakeholders in risk management
• Collaborate with the business to solve problems but escalates within the risk management framework when the business exposes the bank to risk in an unsafe way
• Stay abreast of new/changes in provisioning, tokenization, authentication, technology, and Digital financial services
• Deconstruct and explain complex concepts and issues in a business-friendly manner to senior/executive management
• Work effectively as an individual contributor and collaborative team member on simultaneous projects.
• Possess excellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts
• Work well in a team environment, including cross-functional teams

Required qualifications, capabilities, and skills

• Bachelor's degree
• Minimum of 5 years in a control function (Audit, Controls, Operational Risk Management, Information Risk Management, Compliance) or other relevant function
• Critical thinking skills
• Ability to defend positions and influence with quantitative analysis developed with an analytical team
• Ability to work effectively with both business and technically oriented individuals
• Excellent written and verbal communication skills
• Ability to work in a diverse and inclusive environment

Wholesale Credit Portfolio Analytics Analyst inWholesale Credit Portfolio Analytics team, you will be responsible for creating valuable risk analytics solutions using advanced analytical frameworks and the firm's big data resources. The focus will be on leveraging data to improve the End-to-End credit risk process across the wholesale portfolio. Additionally, the role involves clearly and concisely communicating findings and insights to stakeholders.

Job Responsibilities

• Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals.
• Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant.
• Use data science techniques to derive insights and communicate findings.
• Contribute to generating new ideas to address both ad hoc and strategic projects.
• Present findings and recommendations to senior management through presentations

Required Qualifications, Skills and Capabilities

• Relevant analytics, model/methodology development or credit risk experience
• Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data.
• Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics)
• Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL.
• Excellent problem solving, communications, and teamwork skills.
• Financial service background preferred, but not required.
• Desire to use modern technologies as a disruptive influence within Banking

Job Responsibilities:

• Lead and oversee multiple complex projects and initiatives across departments, ensuring alignment with business goals and driving innovation in technology solutions.
• Collaborate with stakeholders, technology leads, Treasury, and CIO teams to align technology solutions with business needs
• Utilize your deep knowledge of software, applications, and technical processes to guide teams in developing secure, scalable, and high-quality technology products.
• Develop and uphold data architecture standards, including interfaces, reliability, and governance frameworks, while enhancing the platform’s data sourcing, orchestration, and reporting capabilities.
• Evaluate and implement innovative technologies to enhance platform capabilities, drive performance, and optimize cost and scalability of data products and infrastructure.
• Leverage AWS, Databricks, and other approved technologies to build secure data solutions.
• Design integration strategies for seamless data flow between Treasury, CIO systems, and enterprise applications. Lead the development of scalable coding frameworks while optimizing the cost and scalability of data products and infrastructure.
• Develop technical roadmaps aligned with business and technical needs.
• Provide mentorship to teams, fostering a culture of continuous learning, diversity, and inclusion.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
• Advanced experience in leading technologists to solve complex business challenges.
• Proven track record of successfully driving change across organizational boundaries
• Hands-on experience in system design, application development, testing, and operational stability.
• Deep knowledge of data architecture, best practices, and industry trends.
• Expertise in one or more programming languages, such as Python and Java.
• Expert-level experience with AWS or other public cloud providers, as well as Databricks, Snowflake, Airflow, databases, and analytics.
• Strong communication skills for effectively engaging with senior leaders and executives.
• Experience with hiring, developing, and recognizing talent

Preferred Qualifications, Capabilities, and Skills:

• Knowledge of Finance and Treasury products is advantageous.
• Experience in working on BI and AI/ML solutions with business stakeholders and data scientists.