Electronic Trading Risk Management (ETRM) Analytics_ Vice President _ Insti at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Automation, Risk Management, Analytical Skills, Communication Skills, Team Management, Mentoring, Coaching, Equities Markets, Regulatory Knowledge, Front-End Development, KDB+, Linux, Shell Scripts, Dashboard Development

Industry

Financial Services

Description

This role, based in Mumbai, requires the individual to work with global ETRM teams. The key elements of the role are - Role would involve creating reports to capture patterns around trade size, frequency, and timing. Create Report/dashboard to enhance limit transparency to all stakeholders. Build out of dashboards and reporting to assist in risk management. Analyze and implement data automation tasks and processes. Build out of dashboards and reporting to assist in risk management. We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative. Bachelor or Master's Degree in a STEM subject. 10+ years with a background in Technology/IT, Risk Management, Compliance, Operations or Trading Support. Job level will be based on relevancy of the experience. Should have atleast 3 years of strong proven experience using Python and SQL in a professional environment. Experience in a data specialist role, a passion for working with data and helping stakeholders. Strong written and verbal communication skills. Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions. Ability to complete tasks independently to a high standard with minimal oversight. Proven experience managing medium size teams. Excellent mentoring, coaching and people management skills. Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization. Knowledge of Equities markets, understanding of applicable regulatory rules and regulations. An understanding of and strong focus on the mechanics of a control environment, including escalation and risk-related issues. Practical experience with front-end development. JS / React / Angular preferred. Experience of working with KDB+. Experience with Linux, shell scripts, and automation. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

The role involves creating reports to capture patterns around trade size, frequency, and timing, as well as building dashboards to enhance limit transparency and assist in risk management. The individual will also analyze and implement data automation tasks and processes.