Risk Data Engineer

Who We are:

As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals, and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients' most valued asset-management partner.

With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business, or providing thoughtful advice to clients, we're looking for unique voices to help lead us forward. If you're ready to challenge your limits and build your future, join us.

Who You'll Work With:

We are seeking a Mid Level Data Engineer based in Nashville to join our MAS Technology department in Global Technology & Operations

The Multi-Asset Technology group supports quantitative research, model development, and portfolio management processes for Multi-Asset Solutions (MAS) unit of AB. Specifically, we directly support the Dynamic Asset Allocation (DAA) group, the Outcome-Oriented Product group, the Defined-Contribution Retirement Solutions group, the Custom Alternative Solutions group, the Index and Factor Investment group, and other quantitative investment groups.

What You'll Do:

The Risk Data Engineer is a key role for our firm providing data pipelines and data quality control between our internal data warehouse and investment reporting platform and an external investment risk engine.

Applications and business or enterprise functions the role supports

MAS actively manages over $100 billion for global institutions, high net worth individuals and retail mutual fund investors. The group's macro and quantitative research insights are used to develop innovative investment products and drive investment decisions. We assess both short and long-term outlooks for risk and return across all major markets, including Equities, Fixed Income, Currencies, Commodities, Credit, Real Assets, and Alternatives. We use quantitative and fundamental research techniques that are highly adaptive to the current market environment. We combine these views with the specific needs of clients to develop custom portfolio solutions.

Over the past couple of years, MAS has grown rapidly and continues to add new sources of market data, new security instruments, and new quantitative tools to its investment and research process. The diversity and complexity of the investment types requires a robust data acquisition, mapping and quality control process between our internal systems and an external risk analytics engine.

• Develop and enhance our investment risk platform interfaces. Perform code and design reviews ensuring adherence to architecture principles, while meeting business use case requirements. Collaborate with an offshore development and data oversight team to execute integration and regression tests prior to code release.
• Develop data quality tests and related reports to identify interface failures and/or risk and performance data anomalies. Build workflow automation tools to recalculate daily or historical risk / performance numbers once problem input data has been remediated.
• Manage vendor and / or upstream application functional defects and / or operational outages/incidents, ensuring timely recovery / issue resolution accompanied by a thorough root cause analysis.
• Develop a new portfolio risk and performance reporting platform which aggregates security level risk exposures from the external risk engine and returns from our internal performance engine.

(if applicable)?

Risk and performance data is perhaps the most challenging data domain in any financial industry database in that it requires the accuracy of all data which can impact an investment's future cash flow. This project will expose the candidate to the entire investment lifecycle including initial client account set up / new product launch, initial market valuation and risk calculation, ongoing risk and performance monitoring, until final investment maturity or liquidation.

Professional development value of this role (i.e., what learning and professional growth does the role offer the candidate?)

The candidate will have an opportunity to learn or leverage existing skills in SQL, Python, distributed storage and execution platforms, statistical process control, and DataOps methodologies.

The candidate will work closely with professional investment staff and get an opportunity to broaden their financial knowledge across asset classes, markets and instruments

What We're Looking For:

• Degree in Computer Science/Engineering, Master's degree preferred
• 5+ years experience as a developer involved in enterprise data integration, ideally in the finance industry
• 5+ years experience programming SQL queries and stored procedures (Microsoft SQL Server or ORACLE)
• 3+ years experience in Python
• 2+ years experience using Agile or DevOps methodologies (continuous integration / deployment)

Skills

• Strong project management, analytical and quantitative skills
• This is a data-centric development role. The candidate must be willing to learn the problem domain; namely, the investment / trade lifecycle, financial instruments and the terms and conditions that impact risk and return.
• Candidate must be willing to take full ownership of projects, covering analysis, technical design and implementation, testing, and deployment tasks
• Software engineering skills including object-oriented design, application of design patterns
• Must demonstrate good communication skills and be comfortable working closely with senior quantitative analysts and business partners
• A strong desire to document and share work done to aid in long term support
• Candidate must be a self-starter, a dependable partner, and team player

Special Knowledge (if applicable)

• Knowledge of financial instruments
• Experience with Git/GitHub
• Experience with risk platform or market data vendors - MSCI, BarraOne, Bloomberg, Refinitive et. al.
• Experience working in the finance industry, demonstrable curiosity in quantitative research and investment
• Workflow orchestration tools such as Airflow, Control-M, Autosys
• Business intelligence tools such as PowerBI

In accordance with applicable law, the minimum and maximum base annual salary for this role is as follows:

Base Salary Range: $130,000 to $140,000

Actual base salaries may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base salary is just one component of total compensation at AB, which may include, depending on eligibility, commissions, year-end incentive compensation, short- and long-term incentives and Department-specific awards. In addition AB provides a variety of benefits to eligible employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays, sick and vacation time off

Nashville, Tennessee