Sr Data Analyst

11068 Ameriprise India - Udyog Vihar

Ameriprise Financial Services

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The role is responsible for providing support to the Data Science - Investment Research team at Columbia Threadneedle Investments, an Ameriprise Financial company. The role is to identify opportunities to apply Analytics to improve the analyst's recommendation, operational efficiency and effective delivery. The individual will also support the development, articulation, and enablement of Columbia Threadneedle Research initiative and firm-wide strategic vision.

Key Responsibilities

  • Develop Jupyter notebooks and dashboards to analyze economic, consumer and other investment research related data to help investment analysts construct investment recommendations
  • Help develop, alongside technology teams, processes to on-board and prepare datasets for further analysis
  • Maintain code and processes that are used within the investment research team
  • Development and execution of reports for program tracking, model validation, and other information-based solutions support
  • Propose and manage independent and group research projects
  • Develop data pipelines, maintenance of data and data system integrity to both extract information and provide insights, including automation, data sourcing, architecture, and systems used to collect data
  • Collaborate with other investment analysts to contribute to help develop analytical applications and analyze investment research related data. Should be able to confidently present solutions/proposals
  • Use best practices and knowledge of internal or external business issues to improve products or services. Develops competence by performing structured documentation, automation, etc.


Required Qualifications

  • Bachelor’s degree in Engineering/Computer Science or any related fields and/or MBA (Finance) and/or pursuing CFA
  • 3 - 5 years of relevant experience in data analytics for a global financial services / asset management firm
  • Outstanding quantitative/analytical/statistical skills and the ability to manage and interpret large amounts of data. Able to create full stack solutions
  • Exceptional communication skills (needs to effectively work and stay in touch with global colleagues across different business units)
  • Proficient in programming in Python and good knowledge of scientific/analytical libraries such as numpy, scipy, pandas and plotly dash
  • Excellent organizational and project management skills to track and manage multiple deliverables with various process steps and deadlines
  • Team player and collaborative, but can also work autonomously, both with a critical focus on ensuring consistent delivery


Preferred Qualifications

  • Experience with financial tools like Bloomberg etc. 

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.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s 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. You’ll 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
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Category: Analyst Jobs

Tags: Architecture Computer Science Data Analytics Data pipelines Engineering Finance Jupyter NumPy Pandas Pipelines Plotly Python Research SciPy Statistics

Perks/benefits: Career development Insurance

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