Prudential Financial

The Global Technology team takes great pride in our culture where digital transformation is built into our DNA!. As a Senior Data Scientist - Finance and Actuarial you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build state-of-the-art actuarial, financial, and behavioral models. Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Graph / ontology (DB Graph). Programming Languages: Python, R, SQL, Java or Scala, SQL

senior data scientist

Job Classification: Technology - Data Analytics & Management Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. As a Senior Data Scientist - Finance and Actuarial you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build state-of-the-art actuarial, financial, and behavioral models. . You will implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. The current employee work arrangement for this position is Hybrid (Newark, NJ) and requires your on-site presence on a reoccurring basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site. Here is what you can expect in a typical day: Provide deep technical leadership to a portfolio of high impact data science initiatives. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Actively code against the roadmap
Manage team members in data analysis and model development, testing, training, and tuning. Sometimes apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development.
Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
Manage external vendors in the execution of parts of the data science development process.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Bring a applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others and embed learning and innovation in the day-to-day
Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors
Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The Skills and expertise you bring: Bachelor of Computer Science or Engineering or experience in related fields
Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization
Experience with agile development methodologies and Test-Driven Development (TDD)
Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
Excellent problem solving, communication and collaboration skills Applied experience with several of the following: Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transforming data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R.
Database Management System:
Knowledge of how to work with data from (do not build)
SQL skills (relational) - CORE / Initial Proficiency
Unstructured (NoSQL)
Graph / ontology (DB Graph)
Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
Statistics and Computing: Strong knowledge of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud.
Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models.
Programming Languages: Python, R, SQL, Java or Scala, SQL
Financial Modeling: Ability to construct mathematical models to value assets and liabilities. Mastery of concepts including discounted cash flows, weighted average cost of capital, expected value, and terminal value. Ability to generate probabilistic models that represent valuations using varying assumptions. What we offer you: Market competitive base salaries, with a yearly bonus potential at every level
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave
Retirement plans:
401(k) plan with company match (up to 4%)
Company-funded pension plan
Wellness Programs to help you achieve your wellbeing goals, including up to $1,000 a year for reimbursement of items purchased to support personal wellbeing needs
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations.
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. To find out more about our Total Reward package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. You’ll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $99,000.00 to $163,200.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at staffingagencies@prudential.com for more information about doing business with Prudential. PEOPLE WITH DISABILITIES: If you need an accommodation to complete the application process, which may include an assessment, please email accommodations.hw@prudential.com. Please note that the above email is solely for individuals with disabilities requesting an accommodation. If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance. #J-18808-Ljbffr

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