Associate, Data Quality, Finance
COMMERZ III, OBEROI GARDEN CITY, India
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Department Description:
The Finance Division reports to the Chief Financial Officer and consists of some 3,000 employees worldwide. Finance protects the Morgan Stanley franchise by serving as guardian of the Firm's books and records, and by contributing to firm wide risk management and risk reduction. Finance plays a critical role as advisor to Morgan Stanley's various businesses and its senior management team.
. Data validation for Regulatory Liquidity & Capital Reporting
. Monitor daily feed delivery for capital, balance sheet, and liquidity calculations and reporting and conduct data completeness / population checks
. Perform data accuracy checks for data attributes and enrichment processes
. Apply various controls to monitor and report on risk variances and identify data quality issues
. Escalate critical data quality issues that may impact global calculations and reporting
. Review, perform analytics to verify accuracy of financial reporting movements and liaise with key stakeholders to substantiate movements where applicable
. Support tactical and strategic data issue resolution
. Conduct ad-hoc data analysis for stakeholders
. Update relevant policies and procedures
. Leverage Strategic tools available like Alteryx, RPA with the organization to create efficiencies
This role demands an eye to detail to analyze data while understanding the impact on Liquidity and Capital ratios. It would cover data validation for reports submitted to the PRA and FED. CA Fresher having theoretical knowledge around Capital market products and keen to pursue a career in Regulatory reporting Graduates with minimum 1 year experience in a similar profile and having sound knowledge around Liquidity/Capital reporting would be preferred
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.
Morgan Stanley is an equal opportunities employer. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data analysis Data quality Finance Robotics RPA
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