The Wise Seeker is the leading HR technology company in unbiased talent evaluation.
With over 15 years in the industry analyzing the needs and demands of the job market, we are capable of identifying the best talent for each company thanks to our team of professionals and our SaaS platform integrated with Artificial Intelligence.
We are efficient, evaluate talent objectively without bias, and close hiring times in record time, delivering optimal results.
What will you do?
• Design and implement new Regulatory reporting software supporting all global regulatory initiatives. The Regulatory Reports are crucial to the firm fulfilling the requirements of external regulators.
• Solve challenging big data problems. Ensure data correctness while processing of millions of rows a day.
• Find the most effective ways to aggregate and present the data to end users. Become a data scientist.
• Use Java/Spring/Spark/Scala technology stack to develop effective data processing services within the data lake.
• Build relationships with end users to understand the business and suggest improvements to existing tools and processes.
• Gain a comprehensive understanding of financial instruments across multiple asset classes ranging from high volume FX trades to complex Commodities, Credit, Equities, and Interest Rate derivatives.
We are looking for candidates who have:
• Excellent communication, analytical, and problem-solving skills
• Strong organizational skills, attention to detail, mindset of ownership, and excellent follow-through
• Programming skills in Java
• Experience with SQL, relational databases, and query optimization
• Experience in using a test-driven development
• Good understanding of data structures, algorithms, and designing for performance and resiliency
• Focus on software quality – the ability to write clean code and encourage others to do so
• Openness for acquiring new skills and learning new technologies
Additionally, welcomed:
• Experience or a strong interest in investment banking or financial products is a plus
• Experience with big data concepts (we use Spark)
• Experience with Scala
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