Lead Data Engineer (Cloud & AI)

Job Description

• At Client, we advise, originate, trade, manage and distribute capital for governments, institutions and individuals, and always do so with a standard of excellence.
• We are a leading global financial services firm that conducts its business through three principal business segments Institutional Securities, Wealth Management (WM), and Investment Management.
• The Firm's employees serve clients worldwide from more than 1,200 offices in 43 countries.
• Our WM business is one of the largest in the world with more than $2 trillion in client assets, $73 billion in lending balances, and nearly 16,000 Financial Advisors in 600+ offices across the U.S.
• Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals.
• Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services.
• As a market leader, the talent and passion of our people is critical to our success.
• Together, we share a common set of values rooted in integrity, excellence and strong team ethic.
• Client can provide a superior foundation for building a professional career a place for people to learn, to achieve and grow.
• A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile

• Global Banking Technology (GBT) is a dynamic and fast-paced area within the Firm’s WM Technology Division.
• We are responsible for creating innovative technology solutions for the Private Banking Group (PBG), one of the strategic growth areas of the Firm, providing cash management and lending products and services to our WM clients.
• This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans and tailored lending.
• If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, GBT is the place for you.

Position Description

• The position will be responsible for the development of ETL components, providing user access to the data via reports, data extracts, utilizing analysis tools such as OLAP, and for coding stored procedures.
• The candidate will be working with multiple database systems (Teradata, HIVE, SQL Server, DB2, and Snowflake) including Cloud system, both on prem and Cloud.
• The roll will require the candidate to possess a strong understanding of database concepts including data warehouse, operational data stores, and data marts.
• Responsibilities will also require in-depth knowledge of ETL concepts and hands-on experience in implementing data integrations in multiple database platforms using custom development, scripting language such as Unix Shell, and ETL tool such as Informatica.
• The Role requires the candidate to work on data engineering pipelines using Spark on Cloud with tools like Databricks and Snowflake, and work on Statistical Risk models developed on C++ to reengineer them with better latency for cloud using latest technologies like Pytorch and design reusable components, utilities and ability to think out-of-the-box architecture to have seamless experience for modelers from design to implementation to training to deployment of models to production lifecycle.

Responsibilities

• Work with Quantitative Strategist/Statistical Modeler to build, enhance, and execute/test scenarios
• Ability to develop, run and infer Machine Learning Models and Statistical Models on cloud
• Identify potential improvements to the current design/processes.
• Ability to assess risks in design/development upfront.
• Plan and co-ordinate the data/process migration across databases.
• Participate in multiple project discussions as a senior member of the team.
• Serve as a coach/mentor for junior developers.
• Provide thought leadership.
• Lead team in new initiatives such as cloud strategy.

Required Skills

• 10 + years of total experience.
• Strong Python, Spark, PyTorch, PySpark, Java and C++ scripting experience.
• Have knowledge on Machine Learning, Statistics and Model development, training and inference.
• Have strong design and problem-solving skills.
• Strong understanding of machine learning tools ML Flow, Databricks, Snowflake on Cloud.
• SQL skills and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance.
• Knowledge and hands-on experience of RDBMS systems (e.g.: DB2, Teradata, or Oracle, Snowflake).
• Good communication and leadership skills.
• Organization, discipline, detail-orientation, self-motivation, and focused on delivery.
• In-depth knowledge and hands-on experience Unix/Linux programming (shell and/or Perl).

Desired Skills

• Experience in the Financial Industry.
• Good understanding of Data engineering principles and risk model development.
• ETL experience with Informatica.
• Experience in Cloud database (e.g.: AZURE, Snowflake).
• Experience with Scala/Spark/C++/Pytorch.
• Experience with AngularJS.
• Experience in KDB.

About Us

At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.

For more relevant job opportunities please visit our website: Denken Solutions Careers