Franklin Templeton International Services India Pvt. Ltd (FTISPL) is the Indian Services wing of Franklin Templeton Inc, one of the Top Global Investment Management Company committed to offering High Quality Products and providing outstanding services to our customers who are individuals, institutions, pensioners, trusts, partnership firms and other clients. FTISPL at Hyderabad offers various IT /Business related service and support. It stands as a key business enabler of world-wide operations for Franklin Templeton Investment.
Our vision is to be a premier global investment management organization by offering high quality investment solutions, providing outstanding service and attracting, motivating and retaining talented individuals.
I. Job Summary
- Works with their team in support of a single business unit, providing support for solving more complex problems for their domain by developing a variety of models and statistical techniques. They also perform ad hoc statistical and data mining analysis as required.
- Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse - big data- sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments.
- Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to business leaders (or organizations through out the enterprise.
II. Job Duties/ Responsibilities
Data Preparation:
- Collects data from disparate systems, analyzes and delivers the data as intelligence that is actionable.
- Analyzes and interprets the results of research experiments through statistical models Solves analytical problems utilizing large structured, semi-structured and un-structured data in a distributed processing environment (Required)
Statistical Analysis (Data Mining and Advanced Analytical Techniques):
- Develops predictive, statistical, behavioral, or other models using supervised and un-supervised machine learning / statistical modeling techniques.
- Performs ad hoc statistical and data mining analyses (Required)
Training, Research and Development:
- Conducts research on various advanced statistical/machine learning / Optimization techniques to apply to business problems (Required)
III. Requirements
Education (or equivalent experience):
- Master's / Bachelor's degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering or related disciplines, preferably from premier Institutes.
- 3-5 years of experience in advanced analytics
- Proven Experience in Statistical and Machine learning techniques.
- Desirable to have experience in Time Series modelling as well.
Experience:
- 3-5 years of experience in advanced analytics
- Experience in SAS or R or Python.
- Experience in SQL
Skills:
- Ability to translate business challenges into analytical problems
- Ability to articulate and explain statistical / machine learning techniques to business partners
- Proven experience in telling stories using data
- Ability to handle large datasets for building Statistical/Machine learning models which includes hands on experience working on data cleansing, manipulation and data mining.
- Proven ability to work with ambiguous (not well defined) challenges
- Displays curiosity to learn and learns independently
- Excellent written and verbal communication skills.
- Excellent organizational and planning skills
- Proven ability to take initiative and work under pressure in a changing/growing environment
- Ability to work individually or as a team as task requires
- Able to cultivate interpersonal customer and co-worker relationships
We rely on attracting and retaining employees of exceptional quality. In addition, we work to instill a performance driven culture that reinforces accountability, innovation, and professional development. To reach these goals, Franklin Templeton Investments provides a comprehensive employment program that comprises a balanced work/life philosophy, competitive salaries and substantial employee benefits and services, including:
- Professional development growth opportunities through in-house classes and over 150 Web-based training courses
- An educational assistance program to financially help employees seeking continuing education
- Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employees dependents (spouses, children and dependent parents)
- Life insurance for protection of employees- families
- Personal accident insurance for protection of employees and their families
- Personal loan assistance
- Employee Stock Investment Plan (ESIP)
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