Group Lead

This role for Group Lead Data Scientist is to provide people leadership and analytical support to our business partners in the AWM Finance.

The candidate should be hands on in advanced programing, visualization, and Analytics algorithms.

Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business.

Key Responsibilities :

- Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView.

- Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization.

- Develops and maintains infrastructure systems that connect organization's internal data sets; creates new data collection frameworks for structured and unstructured data of client organization.

- Interact with business partner to analyze and interpret business needs.

- Ensure to translate top level business goals into quantifiable analysis activities.

- Test and measure effectiveness of new approaches as well as process improvements.

- Coordinate tasks and assignments across many individuals.

- Develop presentation decks and communicate clearly to business leaders.

- Analytical thought leader participates in discovery sessions to identify opportunities to leverage analytics to automate and enhance business processes.

- Deliver on advanced analytical requests related to targeting and/or segmentation related problems.

- Participate in solving multiple complex problems.

- Mentor junior team members in solving business problems through the use of advanced analytics Qualifications :

- Engineering (B/ B Tech) graduate or Masters (Stats, Quant, Mathematics, OR, etc) from a well-recognized institute.

- 7 10 years of experience in advanced analytical skill-oriented work profiles.

- Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and

machine learning methods etc.

- Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience.

- Proven ability to present/communicate effectively complex technical materials to business leaders.

- Strategic thinker who can provide technical solutions for very complex business problems.

- Excellent knowledge of MS Office Suite.

- In-depth knowledge of financial services industry with a focus in risk and ability to articulate

key concepts to others.

- Experience with Finance industry 5+ years, specifically supporting Wealth management, Insurance, Banking, and other investment instruments.

- Experience on working with AWS Cloud framework and associated tools.

- Experience on working in data lake Qualifications :

About Our Company :

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years.

We are a U based financial planning company headquartered in Minneapolis with a global presence.

The firms focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.

Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work.

Youll also have plenty of opportunities to make your mark at the office and a difference in your community.

So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.

Ameriprise India LLP is an equal opportunity employer.

We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.

Full-Time/Part-Time : Full time.

Timings : (2:00p-10:30p).

India Business Unit : AWMPO AWMP&S President's Office.

Job Family Group : Data.

(ref:hirist.tech)

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