Lead Data Scientist - (Remote)

Key Skills

Java Programming, Finance, Risk Analytics, Python Programming, SQL, Apache Hadoop, Machine learning techniques, Data science techniques, NoSQL, Apache Hive, Apache Pig, Data Analytics, R Programming, SPARK Programming

Job Description

Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead, guide and educate junior data scientists in the team to enable personal and professional growth as well as help in successful conclusion of various analytics initiatives across the team.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 
• Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
• Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value.
• Manage engagement in various analytics initiatives across the team, lead junior teammates, and partner with cross-functional teams.
• Act first to learn and adopt new analytical capabilities and keeps advancing home-grown solutions towards industry leading benchmark.
• Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partners with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities; help with overall risk management for the team.
• Actively mentor and guide junior teammates in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.
• Drive overall team standards and take a leading role in hiring, onboarding and continuously coaching new teammates.

QUALIFICATIONS

Required Qualifications:

• The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
• Six years of related experience
• Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
• In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience in managing multiple projects with tight deadlines and/or leading teams

Preferred Qualifications:

• Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
• Ten years of relevant work experience if candidate lacks graduate degree
• Previous experience in the banking or fin-tech industry

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting

Constantly (More than 50% of the time)

Visual / Audio / Speaking

• Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
• Manual Dexterity / Keyboarding
• Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
• Availability
• Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
• Travel
• Minimal and up to 10%

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