Quant Analytics Associate
The role will offer you an opportunity to dig deeper and enhance your banking product understanding and knowledge about day to day working knowledge of sub-products of the same like Regulatory Operations, KYC (Know Your Customer) Operations, CBO (Credit Bureau Operations) organization etc.
As a Quant Analytics Analyst, in the Regulatory Operations Team, you will be resposible to write Business Requirement Document (BRD) effectively and ensure smooth collaboration with the developers and partners. Regulatory Services Analytics & Reporting (RSAR) deals with multiple line of business within Regulatory Operations such as KYC, Customer fulfillment and Credit Bureau operations. The requirements can vary from automation to deep dive into data to get analytical solutions for the business problem at hand. Not limited to analytics and automation, the team is also entrusted with very high priority projects such as Matter Require Attention (MRA’s) and Action Plan (AP’s). MRA’s & AP’s are very critical projects which involve auditors, LOB’s and internal team. These projects require stakeholder management at it best and attention to detail.
The role provided extensive learning and an in-depth insight into the regulatory services world. As the name suggest its Regulatory services, all the work we do is highly governed internally and externally. This requires a detail knowledge in the process and the business.
Job responsibilities:
- Execute data analysis using a combination of Alteryx, SAS, SQL & Python
- Translate data into meaningful business information
- Recommend solutions for solving complex business challenges
- Design and implement automation solutions using Python, VBA, UNIX or Control-M
- Work closely with team members and stakeholders to ensure high quality, iterative results are delivered in an Agile method
- Challenge yourself to expand and strengthen your skills
Required qualifications, capabilities and skills:
- Minimum of a Bachelor`s degree or equivalent in business or Master’s degree in any of the Quantitative disciplines
- Experience building process automation solutions with Python, SAS. Alteryx and Tableau experience.
- Ideal candidate would be an analytical thinker with superior data analysis skills and ability to project outcomes. A background on data analytics & automation is a must.
- Must be able to quickly and objectively analyze and evaluate issues and form decisions
- Ideal candidate will be able to synthesize data into actionable insights and effectively communicate to all levels of management.
- An acute attention to detail is required, specifically in terms of analytic rigor and output to eliminate the need for rework.
- Must be able to operate in a self-directed manner; must have a strong desire to take the initiative to deliver superior results with urgency
- Ability to independently do root cause analysis independently
Preferred qualifications, capabilities and skills:
- Alteryx and Tableau experience is a plus
- Certification preferred in Python, SAS. Alteryx and Tableau
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