Transformation And Data Science Specialist Job in Msci Inc.

MSCI Equity Data Management (EDM) team provides high quality and differentiated equity data for construction of MSCI s products such as Equity Indexes, Risk Models and ESG Ratings.

The VP - Transformation will drive several platform re-design and transformation programs to make Equity data operations scalable and future ready.

What we will offer you: Depending on your location of your role, you can expect

• Competitive fixed and variable compensation, holiday/vacation allowance & retirement savings plans/pensions
• Employee Resource Groups to support you in and out of the office
• A wide range of benefits including healthcare, dental plans, risk insurances and (location dependent) -cycletoworkschemes, gym benefits, retail discounts,
• A purposeful approach to Wellbeing including training, support networks, membership to wellness platforms and vendors, and active local office communities
• A specific and deliberate planning to the physical offices in which we work, and support for everyone spending periods of time working remotely or at home. This approach mirrors our commitment to transparency and sustainability and puts the safety and wellness of our employees at thecenterof all we do. We aim to provide productive and sustainablework environments and technology that encourages collaboration, creativity and innovation.

Your key responsibilities

• Own the design and execution of projects in Equity data s Less Human in the Loop strategic roadmap
• Collaborate with production leaders to envision the end-state of production process and define metrics to measure the success of the transformation project
• Support design recommendations with data-driven analysis and build business cases to secure funding and resources
• Collaborate with IT team and provide expertise while re-engineering existing platforms
• Infuse AI/NLP and new age tools such as RPA, BOTs etc. to help improve scalability and efficiency of operations
• Build predictive models and machine-learning algorithms and combine models through ensemble modeling
• Present information using data visualization techniques

• Propose solutions and strategies to business challenges

• Collaborate with engineering and product development teams

• Work closely with ED-Transformations to deliver on the committed roadmap and in shaping new transformation ideas

Your skills and experience that will help you excel

• Over 7-12 years of working experience, with at least 5-6 years experience in working on transformative initiatives
• 3 -5 years of experience in developing and designing Analytical solutions and models
• Proficient in PYTHON programming
• Hands on experience in deploying machine learning models into production
• Hands on experience in using visualization tools (Preferably Power BI)
• Strong preference for transformation experience in BFSI domain
• Good communication skills (written and oral) and proficiency in creating presentations.
• An independent worker who can drive certain parts of the work with minimal oversight
• Comfortable working with a wide range of stakeholders and functional teams
• Ability to work and plan effectively with minimal direction in ambiguous situations
• Excellent communication and presentation skills
• Highly motivated, independent, results-oriented, and possesses a strong sense of ownership

• Practical understanding and application of data science and machine learning techniques like: Linear & Logistic Regression, KNN, SVM, PCA, Random Forests, Markov Chains, Clustering (DBSCAN, K-means, etc.), Deep Learning (CNN, RNN, Autoencoders, Transformers, etc.)Proficiency with AWS or Azure cloud computing environments

• Hands on experience with computational packages (NumPy, SciPy, Pandas, Sklearn, statsmodels, Keras, TensorFlow, PyTorch, RASA etc.) and visualization tools

• Text Analysis and Natural Language Processing (NLP) Exposure to chatbots or dialogue systems, machine translation, comprehension of text, text summarization

How we ll support you

• Coaching and support from experts in your team
• A performance and growth-oriented culture andvalues
• Opportunities for continuous learning to aid progression
• Goal based objectives and development plans
• Transparent performance-based compensation schemes
• Employee resource groups such asthe Women s Leadership Forum, MSCIPRIDE,Black Leadership Networkand Eco-Groups.

AboutMSCI and ourteams:

MSCI is a market leader in Global Indexes, Smart Beta, ESG and Risk Management, and is at theforefrontof the secular trends dominating the financial services landscape today. We are committed to the future sustainability and transparency of the financial markets. We create innovative products and services that allow our clients to make more informed investment decisions, and weprovide investors with critical performance measurement and risk management data and analytics. Click here to see what we do (link to MSCI brochure)

Our values define the working environment we strive to create. We are inclusive, we champion bold ideas, wealways pursue excellence, and always act with integrity. Personal accountability and responsibilityarekey to success,andwealways work as a team to remain client centric.

MSCI is committed to developing a culture and workforce that reflects the clients and communities in which we operate.Increasing our diversity expands our talent pool which helps to accelerate innovation in all we do.We especially encourage members of historically underrepresented groups to apply, including women, ethnic minorities and those in the LGBTQ community.

To all recruitment agencies:MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy/maternity leave), veteran status, or any other characteristic protected by law.