Data Scientist Specialist

Overview

WM Tech Portfolio Management and Trading - Data Scientist Specialist

Motivation

• We are looking for a Data Scientist to analyze the information. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Qualifications

• Extensive experience in Python, pandas, numpy is required.
• Knowledge & experience with web-scraping
• Relational as well as NoSQL databases (e.g. Oracle, MongoDB) is preferred
• Knowledge & experience using LLMs, Vector databases & Langchain is a plus
• Good understanding of linear algebra, calculus and statistics
• Knowledge and experience with fundamental machine learning algorithms is required.
• Willing to research and develop with minimum guidance.

Good to have

• Experience and understanding of data design patterns culminating into microservices development.
• Experience in developing Data Pipelines to support near-realtime and event-driven messaging and data processing
• Demonstrate team work. Leverage existing products/functionality and promote reuse.
• Work alongside other engineers on the team to elevate technology and consistently apply best practices.
• Collaborate closely with all the other members of the team to take shared responsibility for the overall efforts that the team has committed to.
• Collaborate cross-functionally with data engineers, business users, project managers and other engineers to achieve elegant solutions.
• Utilize local meetups to gain and share knowledge.

Education and experience

• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
• 2 to 5 years of experience in data science required; experience in the securities or financial services industry is a plus; should have thorough knowledge of the software development cycle

Defines, develops, maintains, and delivers strategic data science products that demonstrate the value and effectiveness of the organization. May allocate/coordinate work within a team/project. Develop and communicate insights leveraging the scientific method. Roles may specialize into 3 domain specialties: model science, feature science and Insight science capabilities. Accountable for developing and guiding more junior members.

Defines, creates and maintains a meaningful insight. Establishes relationships to obtain data and subject knowledge needed to support advanced analytics. Conducts studies to provide additional facts needed to make informed decisions about organizational and functional effectiveness with data decisioning. Communicates effectively with technical and business staff. Develops reports and prepares and delivers both informational and decision-seeking presentations. Stays abreast of organization and management changes and has advanced knowledge of company practices relevant to data science products. Maintains knowledge of company's total computing environment and planned changes to develop meaningful data science products. Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy. Stays abreast of technology innovations and trends to recommend areas for improvement. Supervises resources by providing instruction, making assignments, directing, and checking the work of applications developers. Provides training in technical tools and skills, as well as specific applications and their business functions to maximize their contribution. Grow and develop skills across the 3 domain specialties: model science, feature science and Insight science capabilities. Stressing expertise in the core functional areas: Computer Programming, Math & Analytics Methodology, Distributed computing, and communications of complex results. Contributes to the achievement of related teams' objectives.

Modified based upon local regulations/requirements. Bachelor's degree in STEM degrees, or equivalent work experience with experience preferred in related fields. 3-5 years and bachelor's degree in STEM programs with years of related experience required; experience in the securities or financial services industry is a plus

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team-one that is representative and inclusive of the diverse talent, clients and communities we work with and serve-and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

BNY Mellon assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $76,000 and $140,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNYM total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Employer Description:

For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments and safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

EEO Statement:

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans. Our ambition is to build the best global team - one that is representative and inclusive of the diverse talent, clients and communities we work with and serve - and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.