Data Science

Job ID 1:

Job Description :

– You have at least 2 year experience, ideally within a Statistician role.

– You possess strong knowledge of R, Python and SQL and experience in building and scaling models for time series.

– Strong expertise in Math/ Statistics, Machine Learning and Predictive Modelling (Regression, Neural Networks etc) would be highly valuable.

– You have strong interpersonal and communication skills and are adept at working with multiple stakeholders to drive desired outcomes

– You possess strong analytical skills and are comfortable dealing with numerical data

– You pay strong attention to detail and deliver work that is of a high standard

– You are a creative problem solver and can multitask in fast-paced environments

Job ID 2:-

Job Description

Job Summary

We’re a leading independent investment management firm seeking a globally minded Data Scientist in our Hyderabad office to spearhead development and innovation within our AI team.

You will join a fast-paced agile development team building the latest in innovative and disruptive technologies for asset management leveraging the power of big data. In this position you’ll get to envision and develop cutting edge Financial Technologies (aka FinTech) that will contribute to innovation growth for Invesco and the greater financial ecosystem. You’ll be expected to use your quantitative background to develop machine learning and predictive analytics use cases in the investments space and build advanced machine learning models to create competitive advantage for our investment teams.

Dream job? Maybe, but caveat emptor, before you submit your application, you should know the following:

Excellence is par at Invesco. The environment is demanding, and you will be challenged. We expect that you are fluent in all things data, and you also understand the nuances of financial services and our investment capabilities. You’ll be a part of a dynamic, collaborative team that wants to hear your input because you have a sound foundation in quantitative analysis in the investments space.

You will have incredible opportunities for experimentation, so before you submit your application, here are some other things you should know about the position: Everything we do, we do to deliver a superior investment experience. Our Technology team operates under a OneTech mindset, so we are a highly collaborative crew. In this position you’ll be expected to translate your ideas to your team and motivate them to execute, and to execute at the pace of technology – FAST. This position will be well-suited for someone who is a dreamer and executer, who values speed and innovation.

Key Responsibilities / Duties

Act as subject matter expert for investments projects in the data science space
Perform machine learning/statistical analysis methods, such as deep learning, classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, & validation methods
Analyze and model structured data using advanced machine learning methods and implement algorithms and software needed to perform analyses
Build recommendation engines, sentiment analyzers and classifiers for unstructured and semi-structured data
Extend IVZ data with third party sources of information, as required
Process, cleanse, and verify the integrity of data used for analysis
Perform ad-hoc analysis and present results in a clear manner
Perform exploratory data analysis, generate and test working hypotheses, prepare and analyze historical data to identify patterns
Design rich data visualizations to communicate complex ideas to customers or company leaders


5+ years of experience in a role entailing quantitative research and analysis
4+ years of experience with machine learning
Financial services experience required either in Financial or Economic Analysis
Experience with deep learning, natural language processing
Knowledge of market microstructures and macroeconomic theories, econometric forecasting; capital markets and investments; risk & return; asset pricing, pricing models, and financial engineering; efficient market hypothesis, inefficient markets, and behavioral finance; portfolio theory; mathematics of high frequency finance and algorithmic trading desired
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
Experience managing and manipulating large data sets
Extensive predictive analytics experience with Python or R
Experience with data and machine learning services using Azure, Amazon Web Services (AWS), and / or Google Cloud
Agile (Scrum) experience a plus


You can bring clarity to chaos and you’re comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
Autonomous personality. We’ll help guide you, but we won’t micromanage you. We expect integrity and results. Your work and deliverables will speak for themselves
Strong analytical and critical thinking skills
Strong written and verbal communication skills
Must demonstrate a positive, team-focused attitude
Ability to react positively under pressure to meet tight deadlines
Good inter-personal skills combined with willingness to listen
Enjoy challenging and thought-provoking work and have a strong desire to learn and progress
Structured, disciplined approach to work, with attention to detail
Flexible – able to meet changing requirements and priorities
Able to work in a global, multicultural environment

FORMAL EDUCATION: (minimum requirement to perform job duties)

Advanced Degree in Statistics, Computer Science or other similar from a top tier educational institution preferred
CFA or MBA (Finance) – a big plus


We are passionate about our clients’ success
Working together, we achieve more
We believe in the continuous pursuit of performance excellence
We earn trust by acting with integrity
People are the foundation of our success

Job ID 3:

Duties and responsibilities:

– They are looking for a Data Scientists to develop and enhance our fraud prediction models.


– You can scale offline models to the online world. You are able to aggregate, slice and dice large and wide data sets from public and customer sources to generate invaluable insights. You are obsessed over data cleanliness and canonicalization. You love to find data insights that solve critical problems in a complex data environment.

Qualifications & Experience:

– MS or PhD in Computer Science, Engineering, Operational Research, Statistics, Mathematics or another quantitative field of study

– 2-7 years experience in machine learning, statistics, or data mining

– Data analysis and exploration skills in R, Scala, Matlab, Excel, Weka and other tools

– Production experience in mix of: Java, C++, Python, Pig, Hive, SQL, Hadoop

– Knowledge of Javascript, jQuery, Tableau for a rich and interactive result visualization is a plus

– Interest in the latest techniques in feature representation and learning algorithms is a plus

Working conditions:

– No of Employees: 0-50

– Work Time: 10am to 7Pm

– Monday to Saturday

– Sunday Off

Interview Procedure:

First Round

It will be a video call round on Google Hangouts (If technical issue then Skype or Telephonic.)

Second Round

It will be a telephonic round with problem solving on spot using Google Docs.

Third Round

It will be a personal interview.

Note: Kindly note that the client is following the procedure of Google hiring, so the candidate should be best in his work, experience and knowledge.

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