דרושים Investment Compliance - Depositary Services ב-גיי פי מורגן ב-India, Mumbai

Job Responsibilities:

• Work with the global product team to come up with a standard client offering.
• Work on developing client reporting, data feed, client dash boarding solutions, waterfall using Crystal, SSRS, Tableau and Cascade. Approach should be scalable.
• Liaise with third party technology provider, FIS, to ensure optimal use of technology.
• Support the Transfer Agency key initiatives.
• Support Sales and Client Services for client’s pitches.
• Steer and influence change within an Operations and Technology environment.
• Work on developing client reporting, data feed, client dash boarding solutions, waterfall using Crystal, SSRS, Tableau, Unqork, and Cascade. Approach should be scalable

Required qualifications, capabilities, and skills:

• B Tech/MCA/ BCOM degree and equivalent experience.
• Deep techno-functional expertise of FIS Investran & DX.
• Crystal, SSRS, Tableau, SQL and VBA skills.
• Exposure to Private Equity Reporting.
• Ability to converse with fund accountants to gather their requirements and the competence to convert the requirements into a reporting solution.
• Strong financial and analytical skill set.
• Self-starter with a proven track record in private equity fund administration

Preferred qualifications, capabilities, and skills:

• Proven verbal and written skills for updates as required to senior management including overall governance (milestone tracking and reporting, monthly and quarterly achievements) and call reports.
• Experience supporting fund administration
• Self-motivated, quick learner, comfortable with responsibility
• Strong at building relationships across teams. Ability to multi-task, dynamically prioritize workloads
• Proven good judgment, particularly with prioritizing your own workload – including managing multiple deliveries simultaneously.

Shift timing: - UK Shift

Job summary:

As the Compliance Risk Management Lead in the Compliance team, you will be responsible for regulatory Compliance Coverage for JP Morgan India Pvt. Ltd.

Job responsibilities:

• Responsible for implementation of compliance framework for JPMIPL.
• Act as the Compliance Officer and Principal officer for JPMIPL.
• Responsible for regulatory guidance and advisory to the business/operations teams and other stakeholders regarding regulatory changes as well as existing regulations.
• Evaluate compliance with relevant regulations, including AML, KYC (impacting the regulatory licenses held by JPMIPL), monitor and identify issues or gaps.
• Provide updates to the board on regulatory developments
• Engage with SEBI, Exchanges and relevant regulatory authorities for exam/ inspection and other RFIs as well as for regulatory clarifications.
• Participate in various advocacy initiatives with SEBI and exchanges.
• Handle the escalation of alerts from Trade surveillance team as well as alerts from exchanges.
• Review policies pertaining to JPMIPL based on regulatory changes / requirements.
• Work with various regional teams and provide them with necessary updates regarding local regulations.
• Represent compliance on various legal entity governance forums

Required qualifications, capabilities, and skills:

• Bachelor’s Degree in Finance, Economics, Statistical Mathematics, Data Science or equivalent/related disciplines
• 10 plus years of experience in the Financial Services Industry with a demonstrated track-record experience and knowledge of Broking and Investment Banking compliance, including proficient understanding of India AML/CFT regulations and requirements

Preferred qualifications, capabilities, and skills:

• Chartered Accountant, Master’s degree, LLB, Company Secretary or other closely related professional qualification will be beneficial.
• Experience in handling regulatory investigations is an advantage

Competencies:

• Ability to develop and maintain productive relationships with key internal clients across all levels.
• A solution driven approach, with exemplary problem solving skills;
• Good analytical ability.
• Ability to own, deep-dive and/or investigate issues and can derive solutions independently, ultimately ensuring successful implementation or resolution
• Experienced with Mantas, technology driven case management tool and/or technology will be preferred and require proficiency in MS Office (Outlook, Excel, Word, PowerPoint etc.), and the experience to handle large volumes of quantitative data
• Ability to work effectively alone and as part of a team, at a local and regional level
• Strong interpersonal or client management skills required to work effectively, influence and/or negotiate desired outcomes with multiple stakeholders and/or senior management
• Good written and verbal communication skills.

As an Investment Specialist within our Global Real Estate team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities:

• Prepare and update marketing collaterals, including strategy pitch books, product profiles, and ad-hoc materials.
• Complete updates to consultant databases in collaboration with the dedicated team.
• Respond to requests for proposals (RFPs), requests for information (RFIs), and due diligence questionnaires; prepare competitor analysis on Real Estate funds.
• Collaborate with internal teams, consultants, and clients to answer questions and resolve issues, ensuring timely and accurate responses.
• Update and maintain internal databases, client cash flows, fund AUMs, and other records on a monthly and quarterly basis.
• Assist with fund-level reporting for all investors, including client statements, snapshots, and quarterly/annual reports.
• Review data and reports to identify gaps and issues, maintaining a high level of competency.
• Identify and implement efficiency initiatives to improve team productivity.
• Participate in weekly meetings, information-sharing sessions, and fund webcasts.
• Support the growth of the business by expanding existing relationships and delivering new products.
• Ensure quality and accuracy in all client-facing materials and communications.

Required qualifications, capabilities, and skills:

• At least 4years’ experience in financial product analysis, marketing, or client services in real estate markets
• Excellent written and verbal communication, analytical, and organizational skills.
• Detail-oriented and organized, with a meticulous approach to ensuring data accuracy.
• Strong time management skills and ability to multi-task.
• Advanced proficiency in Excel and PowerPoint.

• Comfort working in a fast-paced environment across multiple time zones.

Preferred qualifications, capabilities, and skills:

CFA is a plus.

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.