[Remote-Position] Associate,Data Scientist, Data Strategies and
A great starter role is available at workwarp for a Associate,data Scientist, Data Strategies And Solutions Gurgaon, IN! We believe in flexibility; this hybrid role lets you balance your time between our Remote office and home. This position requires a strong and diverse skillset in relevant areas to drive success. We believe in rewarding talent. The total rewards package for this role includes a competitive salary. Â Â Elevate your career by joining the world's largest asset manager! Thrive in an environment that fosters positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and effectively engage your involvement in our success.
Business Unit Overview:
Data Strategy & Solutions is a Global Data Research team within BlackRock Portfolio Management Group (PMG) focused on alternative, primary and big data. We are seeking an experienced technical business analyst, with experience in financial services, to contribute to our established primary and vendor data platform and service offering.
This role offers tremendous scope for an entrepreneurial person with a keen interest in learning how alternative data (transactions, sales, sentiments, interests) can drive investment decisions and make a significant contribution to alpha generation across our world class investment teams. You will be working with a team that shares your passion for data and its potential to positively transform the investment landscape.
What you will be doing?
 Work with Portfolio Managers and Researchers to answer Investment hypothesis across Asset Classes, Investment strategies and Sectors
 Investigate new trends and business areas, working across a wide variety of industries on a range of topics that are important to the global investment community
 Develop and use knowledge of technology to design innovative approaches to solve data-related challenges
 Create summaries, data visualizations, algorithms, models, written analyses, and other presentations of work performed
 Manage time and tasks to meet deadlines for stakeholders in time-sensitive projects
 Participate in internal and external meetings to review results of work performed
 Deliver on day-to-day activities of a project including interaction with other team members and stakeholders
 Transform large structured and unstructured data sets into actionable insights
 Assist in the identification and evaluation of data sources and vendors
 Create new data assets including those sourced through web scraping
 Participate in brainstorming meetings to design, execute, and deliver novel solutions for investment debates
 Partner with researchers to deliver analytical solutions to support investment decision making
Qualifications
 2+ years of experience in building data driven solutions to challenging problems preferably in sectors like Investments, Technology, Healthcare, Banking & Financial Services
 Experience using alternative data to analyze the sectors like ESG, Healthcare, Pharmaceutical, Renewable Energy, Social Responsibility, Biotech, and/or Life Sciences sectors is a plus
 Experience incl. working with large unstructured dataset (e.g. in equity or quantitative research, academia, risk or operations, consultancy) is preferred
 BachelorÂs degree from an accredited college / university; thesis or experience working in a research environment preferred
 Intellectually curious with strong analytic, quantitative, and critical reasoning skills
Skills required include
 Ability to communicate and align priorities across multiple teams with inspiration and authority
 Database experience (SQL, DDL/DML, performance tuning, data modeling).
 Basic understanding of UNIX/LINUX environments.
 Ability to work efficiently in a fast-paced environment on multiple concurrent projects
 Solid experience doing technical business analysis
 Technical background including working knowledge of at least one of the programming languages SQL, Python, and R
 Familiarity with git, data visualization tools, and web scraping technologies a plus
 Knowledge of Pyspark, Databricks, GCP, Airflow, and other leading big data analysis tools a plus
Other personal characteristics
 Unquestioned integrity and the highest ethical standards
 Ability to provide feedback to others in a constructive, assistive way
 Not afraid of failure and demonstrated ability to operate with vague or light client feedback
 Perform diverse and complex tasks with accuracy and a desire to coach others on the same
 Communicate effectively both verbally and in writing, particularly with global colleagues.
 A built-in drive to achieve outstanding results under tight timelines
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRockÂs hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 3 days in the office each week, with the flexibility to work from home up to 2 days a week; some business groups may require more time in the office due to their roles and responsibilities. Beginning in September, all employees will shift to at least 4 days in the office per week, with the flexibility to work from home 1 day a week. We remain focused on increasing the impactful moments that arise when we work together in person  aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Apply Job! Join Our Team!This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.
Apply Now
Business Unit Overview:
Data Strategy & Solutions is a Global Data Research team within BlackRock Portfolio Management Group (PMG) focused on alternative, primary and big data. We are seeking an experienced technical business analyst, with experience in financial services, to contribute to our established primary and vendor data platform and service offering.
This role offers tremendous scope for an entrepreneurial person with a keen interest in learning how alternative data (transactions, sales, sentiments, interests) can drive investment decisions and make a significant contribution to alpha generation across our world class investment teams. You will be working with a team that shares your passion for data and its potential to positively transform the investment landscape.
What you will be doing?
 Work with Portfolio Managers and Researchers to answer Investment hypothesis across Asset Classes, Investment strategies and Sectors
 Investigate new trends and business areas, working across a wide variety of industries on a range of topics that are important to the global investment community
 Develop and use knowledge of technology to design innovative approaches to solve data-related challenges
 Create summaries, data visualizations, algorithms, models, written analyses, and other presentations of work performed
 Manage time and tasks to meet deadlines for stakeholders in time-sensitive projects
 Participate in internal and external meetings to review results of work performed
 Deliver on day-to-day activities of a project including interaction with other team members and stakeholders
 Transform large structured and unstructured data sets into actionable insights
 Assist in the identification and evaluation of data sources and vendors
 Create new data assets including those sourced through web scraping
 Participate in brainstorming meetings to design, execute, and deliver novel solutions for investment debates
 Partner with researchers to deliver analytical solutions to support investment decision making
Qualifications
 2+ years of experience in building data driven solutions to challenging problems preferably in sectors like Investments, Technology, Healthcare, Banking & Financial Services
 Experience using alternative data to analyze the sectors like ESG, Healthcare, Pharmaceutical, Renewable Energy, Social Responsibility, Biotech, and/or Life Sciences sectors is a plus
 Experience incl. working with large unstructured dataset (e.g. in equity or quantitative research, academia, risk or operations, consultancy) is preferred
 BachelorÂs degree from an accredited college / university; thesis or experience working in a research environment preferred
 Intellectually curious with strong analytic, quantitative, and critical reasoning skills
Skills required include
 Ability to communicate and align priorities across multiple teams with inspiration and authority
 Database experience (SQL, DDL/DML, performance tuning, data modeling).
 Basic understanding of UNIX/LINUX environments.
 Ability to work efficiently in a fast-paced environment on multiple concurrent projects
 Solid experience doing technical business analysis
 Technical background including working knowledge of at least one of the programming languages SQL, Python, and R
 Familiarity with git, data visualization tools, and web scraping technologies a plus
 Knowledge of Pyspark, Databricks, GCP, Airflow, and other leading big data analysis tools a plus
Other personal characteristics
 Unquestioned integrity and the highest ethical standards
 Ability to provide feedback to others in a constructive, assistive way
 Not afraid of failure and demonstrated ability to operate with vague or light client feedback
 Perform diverse and complex tasks with accuracy and a desire to coach others on the same
 Communicate effectively both verbally and in writing, particularly with global colleagues.
 A built-in drive to achieve outstanding results under tight timelines
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRockÂs hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 3 days in the office each week, with the flexibility to work from home up to 2 days a week; some business groups may require more time in the office due to their roles and responsibilities. Beginning in September, all employees will shift to at least 4 days in the office per week, with the flexibility to work from home 1 day a week. We remain focused on increasing the impactful moments that arise when we work together in person  aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Apply Job! Join Our Team!This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.
Apply Now