דרושים Sr Principal Architect ב-גיי פי מורגן ב-India, 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.

Job responsibilities

• Define, document and deliver current state, target states and initiative based Architectures for Rewards product in Connected Commerce and other efforts.
• Work across all corporate technology and line-of-business technology teams to design and socialize solutions.
• Participate in the Digital and cross line-of-business Architecture governance and tollgate processes.
• Provide subject matter expertise to multiple cross Line-of-Business forums, panels, technologies and senior business/IT management.
• Work with application development teams to estimate the cost of a proposed solution.
• Be aware of industry trends and leverage new techniques and technologies as appropriate.
• Challenge designs during the concept and review phases to drive toward re-use, efficiency, security and stability.
• Define and/or participate in supporting any changes to existing/new architectural processes.
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Extensive working knowledge and experience in debit/credit cards and financial industry
• Excellent written and oral communication skills and demonstrated ability to interact with all technical and non-technical members of the organization.
• Experience in UI/UX Architecture – Frontend Design, ReactJS, Octagon Framework, AngularJS
• Mobile Native Design and Architecture experience is preferred – iOS and Android
• Proven ability to lead and mentor team members and other development resources.
• Development background with a minimum of three years of work experience in the following areas: Application technology, Middleware technology, Object Oriented technologies, database and Internet technologies.
• Expert-Level Analytical skills in architecture methods and design concepts.
• Demonstrated ability to lead and influence decision making in a federated, multi-stakeholder environment.
• Strong business and product knowledge.
• Bachelor’s degree in Computer Science, Computer Engineering or related field.

Preferred qualifications, capabilities, and skills

• Skilled at bringing about clarity in a complex environment and/ or ambiguous situation.
• Understanding of relevant technologies and development life cycles including Agile and Waterfall.
• AWS Certification preferred

Key Responsibilities:

Build holistic QE strategies around multi-year, multi application programs

Design, develop, and maintain reusable automated frameworks, tooling and utilities

Build CI automation capability

Collaborate with cross-functional teams and business users to understand application requirements and ensure comprehensive test coverage.

Build robust QE processes to ensure optimal and smart coverage and testing

People management for around 6-8 technofunctional QEs

Required Skills:

12+ years of experience in quality having run complex initiatives in fintech organisations, preferably in the asset, wealth management domain

Strong understanding of the AWM functioning and trading

Strong programming skills in Python, NodeJS, Java, Groovy, SQL, big data and an appetite to be able work on diverse technology at scale

Experience with version control systems (e.g., Git) and CI/CD tools.

Good understanding of industry best practices around QE and dev around SDLC, metrics, release management etc

Job responsibilities:

• Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units.
• Collaborate with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives – from problem scoping, data engineering, model development, validation, deployment, to monitoring.
• Lead the model development process, including tasks such as data wrangling/analysis, model training, testing, and selection.
• Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI/ML solutions are robust, ethical, and aligned with organizational goals.
• Drive experimentation with advanced techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex business challenges and create value.
• Utilize advanced statistics, econometrics and mathematical skills including graph theory applications, probability theory, stochastic calculus, Monte Carlo simulation, numerical analysis, optimization techniques and time series analysis.
• Collaborate with Technology on model testing, implementation, and production.
• Provide mentorship and oversight for junior data scientists to build a collaborative working culture.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay abreast of emerging trends and research in AI and machine learning, and assess their potential application within the organization.
• Contribute to continuous innovation and improvement in the efficiency and effectiveness of processes within the asset-class group, including discussions on overall team strategy.
• Represent risk analytics in governance forums, risk committees, and audit discussions.
• Work with risk managers and other stakeholders to address requests for additional analysis based on specific needs.
• Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators.
• Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks, such as product, fiduciary, counterparty, concentration, ESG/climate, liquidity, and their effect on investments.

Required qualifications, capabilities, and skills:

• 5+ years of hands-on experience in data science, machine learning, or AI.
• Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred.
• Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models.
• Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra.
• Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
• Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression.
• Have experience with investment products including fixed income, equity, and mutual funds.
• Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Logical thought process, ability to scope out an open-ended problem into data driven solution.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.

As a Data Domain Architect Associate within the Analytics Solutions and Delivery (AS&D) team in Workforce Planning, you will be responsible for delivering data automation and visualization that supports multiple Workforce Planning functions. Projects engaged by the Analytics team can be complex, data-intensive, and of a high level of difficulty, having a significant impact on the business. Your role will require quick assessment and comprehension of unstructured problems to develop practical problem-solving strategies.

Job Responsibilities:

• Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies and perform in depth analysis to resolve a business problem by employing the appropriate tools available in the enterprise
• Identify new opportunities to bring new process improvements and bring critical skillset to automate the functions on new technology platforms.
• Communicate data findings through engaging stories that are easy to understand
• Quickly assesses the big picture in complex situations and identify what is critical and implement rapid prototyping & deployment of existing capability to the target state platform.
• Work with business domain experts to identify data relevant for analysis
• Develop new analytical methods and/or tools as required
• Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements
• Build test scenarios and assist in UAT.
• Develop and maintain comprehensive documentation for data processes and workflows.

Required Qualifications, Capabilities, and Skills:

• Hands on experience for data pull using SQL, SQL tuning, data validation, dimensional and relational data modeling.
• Understanding and hands on experience of designing and implementing ETL processes
• Experience using Alteryx, delivering reports and insights, data analytics inference, and visualizations to communicate with partners and stakeholders
• Experience on Data Migration projects. (Snowflake/Databricks)
• Demonstrated proficiency with Microsoft Office (Excel, PowerPoint)
• Strong problem-solving skills and attention to detail.

Preferred Qualifications, Capabilities, and Skills:

• Bachelor’s Degree with 6+ years or Master’s+ with 4+ years of experience operating as reporting and analytics professional with background in either Computer Science, MCA, Statistics, Engineering, Mathematics, Information Science, or related disciplines
• Experience with Python, PySpark, and microservices (AWS) is good to have
• Exposure to cloud (AWS/Azure) architecture and Data Lake is a plus

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java, React JS and Spring Boot Framework
• Experience in AWS ECS, EKS and Terraform
• Experience in stream process platform Apache Kafka or Kinesis
• Hands on experience in Oracle and or PostgreSQL
• Working experience on Databricks
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern back-end technologies
• Exposure to cloud technologies
• Experience with Typescript
• Knowledge on API / Microservices