Resourceful and self - motivated individual for joining the FS Analytics team as a Consultant. In FS Analytics, we help our Financial Services (Banking, Insurance, Asset & Wealth) clients navigate through challenges in all stages of the Customer interaction. With our Advanced Analytics offerings powered by AI/ML techniques and compatible with Cloud technologies, we deliver best in class solutions to our clients. The suitable candidate should be strong in advance predictive analytics and usage of new age technology with relatively shorter learning curve
Analytics consultant is responsible to help the clients with analytics solution at every stage. He/she should be strong in analytics fundamentals and should have good hands on experience working with the following:
Able to articulate the client s business problem and come up with various approaches to solve for the same (business and technical aspects)
Be involved with stakeholder and mid-level client interviews to track down information on the problem or issue in question.
Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL, Oracle, S3 buckets and likes of the same
Develop analytics and data driven solutions to support client requirements across various industries and business functions.
Develop methodologies to support Customer Analytical project execution for FS clients
Develop predictive analytics based solutions for
Statistical Models across customer Lifecycle management
Acquisition/Attrition / Cross-Sell / Upsell Propensity Models/ NBA/Collections/ AML, Fraud
Customer Lifetime Value
Apply appropriate techniques, such as exploratory data analysis, AI / ML algorithms, bootstrapping, trees, cluster analysis, survival analysis and so on
Develop and articulate strategic recommendations based on rigorous data analysis
Must Have - Proficient in coding in one of Python/SAS/R / Pyspark. Knowledge of SQL. Well versed with one of the banking domains. Have prior experience implementing AI or ML algorithms.
Added plus: NLP algorithms and AWS / GCP certification or on job experience
Good to have - Web crawling capabilities, Data Engineering & Visualization like Tableau, Power BI etc
Profile & Prior Experience
Hands on experience in build and deployment of Statistical Models/Machine Learning using following techniques - Statistical Algorithms (at least some of them)
oSegmentation (K means, Cluster Analysis)
oMultivariate Regression (Logistic, OLS, GLM etc.)
oML algorithms -RF, GBM / XgBoost, SVM
oAI - RNN, CNN
oNLP algos - TFIDF, Word2vec, LDA
oExploratory Analytics (T-tests)
oTime series & Non Linear Modeling
Experience with some databases preferred
oOracle, TD, Sybase, MS SQL, Win SQL, S3 buckets
Any of the Big Data querying language (Hive, PIG, Hadoop, etc.) (Good to have)
Ability of Visual story-telling with BI & Visualisation Tools (Tableau/Spotfire, Cognos, Business Objects) is preferred.
Advanced Excel including VBA and PowerPoint skills
Consulting skills Experience preferred
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people
Self-Starter with ability to work independently across multiple projects and set priorities
Willingness to Travel Internationally
Experience in analytics teams solving problems for top global companies
3-8 years of analytics overall experience, including at least 3-4 years of quantitative analysis in the FS or similar Industry.
Hands on experience in Predictive analytics projects involving statistical modeling, customer segmentation etc.
MA/MBA/MSc/MPhil. in Statistics / Economics/ Mathematics / Engg. Degree from Top Colleges in India or Abroad
Exposure to US/ overseas Markets is preferred
Qualifications Engineering from reputed college or equivalent with strong work experience in life sciences and statistical analysis
Master s degree in Business Administration from a reputed college or equivalent,
Statistics / Operations research masters from reputed college