Invesco

Sr. Data Scientist I, SIP

Job description

About Invesco

Invesco Ltd. is a leading independent global investment management firm, dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, Invesco provides a wide range of investment strategies and vehicles to our clients around the world. Operating in more than 20 countries, the firm is listed on the New York Stock Exchange under the symbol IVZ.

About Invesco Technology

Invesco is a global organization with 8000+ employees dedicated to delivering an investment experience that helps people get more out of life. As Invesco Technology, we operate under a OneTech philosophy that guides our attitudes and business decisions and creates a truly collaborative environment. Our people are our priority because working together we can develop the innovative solutions that will propel us to becoming leaders in the asset management space in the digital and data economy.

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

WORK EXPERIENCE / KNOWLEDGE:

  • 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

SKILLS / OTHER PERSONAL ATTRIBUTES REQUIRED:

  • 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

COMPETENCY REQUIREMENTS – INVESCO CORE:

  • 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

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